The SAS System 09:44 Sunday, March 23, 2014 1 The GENMOD Procedure Model Information Data Set WORK.CRAB Distribution Poisson Link Function Log Dependent Variable Sa Number of Observations Read 173 Number of Observations Used 173 Parameter Information Parameter Effect Prm1 Intercept Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 172 632.7917 3.6790 Scaled Deviance 172 632.7917 3.6790 Pearson Chi-Square 172 584.0436 3.3956 Scaled Pearson X2 172 584.0436 3.3956 Log Likelihood 35.9898 Full Log Likelihood -494.0447 AIC (smaller is better) 990.0893 AICC (smaller is better) 990.1127 BIC (smaller is better) 993.2426 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 1.0713 0.0445 0.9840 1.1585 579.54 <.0001 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. The SAS System 09:44 Sunday, March 23, 2014 2 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 1 8 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 5.0809249 2.9738574 2.4431426 2.4502344 2.9824898 2.4536428 0.0057803 0.0517165 0.0101197 0.2274127 2 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 3 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 4 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 5 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 6 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 7 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 8 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 9 8 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 5.0809249 2.9738574 2.4431426 2.4502344 2.9824898 2.4536428 0.0057803 0.0517165 0.0101197 0.2274127 10 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 11 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 12 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 The SAS System 09:44 Sunday, March 23, 2014 3 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 13 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 14 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 15 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 16 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 17 8 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 5.0809249 2.9738574 2.4431426 2.4502344 2.9824898 2.4536428 0.0057803 0.0517165 0.0101197 0.2274127 18 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 19 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 20 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 21 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 22 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 23 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 24 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 4 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 25 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 26 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 27 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 28 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 29 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 30 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 31 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 32 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 33 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 34 10 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 7.0809249 4.1444542 3.2348903 3.2442805 4.1564846 3.250289 0.0057803 0.100444 0.0141032 0.316929 35 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 36 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 The SAS System 09:44 Sunday, March 23, 2014 5 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 37 8 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 5.0809249 2.9738574 2.4431426 2.4502344 2.9824898 2.4536428 0.0057803 0.0517165 0.0101197 0.2274127 38 9 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 6.0809249 3.5591558 2.8469966 2.8552608 3.5694872 2.8599018 0.0057803 0.074077 0.0121114 0.2721708 39 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 40 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 41 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 42 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 43 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 44 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 45 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 46 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 47 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 48 14 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 11.080925 6.485648 4.6622188 4.6757521 6.5044743 4.6883729 0.0057803 0.2459778 0.02207 0.4959615 The SAS System 09:44 Sunday, March 23, 2014 6 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 49 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 50 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 51 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 52 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 53 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 54 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 55 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 56 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 57 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 58 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 59 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 60 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 The SAS System 09:44 Sunday, March 23, 2014 7 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 61 10 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 7.0809249 4.1444542 3.2348903 3.2442805 4.1564846 3.250289 0.0057803 0.100444 0.0141032 0.316929 62 7 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 4.0809249 2.3885589 2.0206822 2.0265478 2.3954924 2.0288732 0.0057803 0.0333627 0.008128 0.1826546 63 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 64 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 65 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 66 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 67 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 68 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 69 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 70 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 71 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 72 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 The SAS System 09:44 Sunday, March 23, 2014 8 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 73 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 74 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 75 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 76 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 77 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 78 7 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 4.0809249 2.3885589 2.0206822 2.0265478 2.3954924 2.0288732 0.0057803 0.0333627 0.008128 0.1826546 79 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 80 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 81 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 82 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 83 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 84 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 9 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 85 8 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 5.0809249 2.9738574 2.4431426 2.4502344 2.9824898 2.4536428 0.0057803 0.0517165 0.0101197 0.2274127 86 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 87 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 88 9 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 6.0809249 3.5591558 2.8469966 2.8552608 3.5694872 2.8599018 0.0057803 0.074077 0.0121114 0.2721708 89 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 90 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 91 8 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 5.0809249 2.9738574 2.4431426 2.4502344 2.9824898 2.4536428 0.0057803 0.0517165 0.0101197 0.2274127 92 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 93 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 94 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 95 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 96 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 10 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 97 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 98 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 99 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 100 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 101 15 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 12.080925 7.0709464 4.9941617 5.0086586 7.0914717 5.0231802 0.0057803 0.2923777 0.0240617 0.5407196 102 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 103 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 104 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 105 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 106 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 107 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 108 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 The SAS System 09:44 Sunday, March 23, 2014 11 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 109 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 110 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 111 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 112 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 113 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 114 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 115 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 116 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 117 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 118 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 119 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 120 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 12 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 121 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 122 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 123 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 124 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 125 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 126 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 127 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 128 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 129 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 130 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 131 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 132 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 13 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 133 11 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 8.0809249 4.7297527 3.6088746 3.6193503 4.743482 3.6268495 0.0057803 0.1308176 0.0160949 0.3616871 134 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 135 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 136 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 137 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 138 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 139 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 140 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 141 9 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 6.0809249 3.5591558 2.8469966 2.8552608 3.5694872 2.8599018 0.0057803 0.074077 0.0121114 0.2721708 142 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 143 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 144 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 The SAS System 09:44 Sunday, March 23, 2014 14 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 145 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 146 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 147 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 148 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 149 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 150 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 151 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 152 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 153 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 154 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 155 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 156 1 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -1.919075 -1.123232 -1.302158 -1.305938 -1.126492 -1.304972 0.0057803 0.0073778 -0.003822 -0.085894 The SAS System 09:44 Sunday, March 23, 2014 15 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 157 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 158 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 159 12 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 9.0809249 5.3150511 3.97058 3.9821057 5.3304794 3.9912089 0.0057803 0.1651977 0.0180866 0.4064452 160 6 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 3.0809249 1.8032605 1.5760907 1.5806657 1.8084949 1.5820769 0.0057803 0.0190154 0.0061363 0.1378964 161 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 162 2 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -0.919075 -0.537933 -0.570677 -0.572333 -0.539495 -0.572149 0.0057803 0.0016922 -0.001831 -0.041136 163 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 164 5 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 2.0809249 1.2179621 1.1044732 1.1076792 1.2214975 1.1083707 0.0057803 0.0086747 0.0041446 0.0931383 165 7 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 4.0809249 2.3885589 2.0206822 2.0265478 2.3954924 2.0288732 0.0057803 0.0333627 0.008128 0.1826546 166 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 167 10 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 7.0809249 4.1444542 3.2348903 3.2442805 4.1564846 3.250289 0.0057803 0.100444 0.0141032 0.316929 168 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 16 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa Value Predictor Predictor HessWgt Lower Upper Std Std Raw Pearson Deviance Deviance Pearson Likelihood Residual Residual Residual Residual Residual Residual DFBETA_ DFBETAS_ Leverage CookD Intercept Intercept 169 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 170 4 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 1.0809249 0.6326636 0.5986405 0.6003783 0.6345001 0.6005811 0.0057803 0.0023406 0.0021529 0.0483802 171 7 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 4.0809249 2.3885589 2.0206822 2.0265478 2.3954924 2.0288732 0.0057803 0.0333627 0.008128 0.1826546 172 3 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 0.0809249 0.0473652 0.0471488 0.0472857 0.0475027 0.047287 0.0057803 0.0000131 0.0001612 0.003622 173 0 2.9190751 1.0712668 0.0444994 2.9190751 2.6752681 3.1851013 -2.919075 -1.70853 -2.416226 -2.42324 -1.71349 -2.419736 0.0057803 0.01707 -0.005814 -0.130652 The SAS System 09:44 Sunday, March 23, 2014 17 The GENMOD Procedure Model Information Data Set WORK.CRAB Distribution Poisson Link Function Log Dependent Variable Sa Number of Observations Read 173 Number of Observations Used 173 Parameter Information Parameter Effect Prm1 Intercept Prm2 W Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 171 567.8786 3.3209 Scaled Deviance 171 567.8786 3.3209 Pearson Chi-Square 171 544.1570 3.1822 Scaled Pearson X2 171 544.1570 3.1822 Log Likelihood 68.4463 Full Log Likelihood -461.5881 AIC (smaller is better) 927.1762 AICC (smaller is better) 927.2468 BIC (smaller is better) 933.4828 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 -3.3048 0.5422 -4.3675 -2.2420 37.14 <.0001 W 1 0.1640 0.0200 0.1249 0.2032 67.51 <.0001 Scale 0 1.0000 0.0000 1.0000 1.0000 NOTE: The scale parameter was held fixed. The SAS System 09:44 Sunday, March 23, 2014 18 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 1 8 28.3 3.8103412 1.3377187 0.0508497 3.8103412 3.4488993 4.2096618 4.1896588 2.1463312 1.867685 1.8769541 2.1569832 1.8799166 0.0098524 0.0231475 -0.047889 0.0020788 -0.088316 0.1041199 2 4 26 2.6127806 0.960415 0.0493403 2.6127806 2.371944 2.8780708 1.3872194 0.8582102 0.795359 0.7979006 0.8609527 0.7983174 0.0063607 0.0023725 0.0188449 -0.000594 0.0347538 -0.029756 3 0 25.6 2.446839 0.894797 0.0532791 2.446839 2.2042158 2.7161684 -2.446839 -1.564238 -2.212166 -2.219889 -1.569698 -2.216031 0.0069458 0.0086169 -0.043893 0.0014414 -0.080947 0.0721929 4 0 21 1.1504919 0.1401896 0.1290549 1.1504919 0.893371 1.4816146 -1.150492 -1.07261 -1.516899 -1.531645 -1.083036 -1.52429 0.0191616 0.0114575 -0.079112 0.0028369 -0.145898 0.1420936 5 1 29 4.2740006 1.4525503 0.0588966 4.2740006 3.8080417 4.796975 -3.274001 -1.583658 -1.908638 -1.922946 -1.59553 -1.9185 0.0148257 0.019155 0.0627111 -0.00256 0.1156515 -0.12822 6 3 25 2.2174767 0.7963699 0.0606971 2.2174767 1.9687636 2.4976096 0.7825233 0.525494 0.498405 0.5004534 0.5276537 0.5006816 0.0081695 0.0011466 0.0191623 -0.00065 0.0353391 -0.032568 7 0 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 -2.699925 -1.643145 -2.323758 -2.330944 -1.648226 -2.327354 0.0061564 0.0084141 -0.030808 0.0009394 -0.056816 0.0470536 8 0 24.9 2.1813969 0.7799654 0.0620722 2.1813969 1.9315179 2.4636025 -2.181397 -1.476955 -2.08873 -2.097564 -1.483201 -2.093152 0.0084048 0.0093232 -0.055804 0.0019007 -0.102914 0.0952009 The SAS System 09:44 Sunday, March 23, 2014 19 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 9 8 25.7 2.4873092 0.9112015 0.0522078 2.4873092 2.2453828 2.7553018 5.5126908 3.4954149 2.7688371 2.7782709 3.5073242 2.7838564 0.0067796 0.0419834 0.0928854 -0.003026 0.1712989 -0.151541 10 6 27.5 3.34171 1.2064827 0.0453294 3.34171 3.0576257 3.6521886 2.65829 1.4541794 1.3064233 1.3109317 1.4591977 1.3120069 0.0068664 0.0073607 -0.00719 0.0004614 -0.013259 0.0231117 11 5 26.1 2.6559955 0.9768195 0.0485113 2.6559955 2.4150964 2.9209236 2.3440045 1.4382844 1.279912 1.2839309 1.4428006 1.2849849 0.0062505 0.0065466 0.0292941 -0.00091 0.054024 -0.045564 12 4 28.9 4.2044596 1.4361458 0.0576085 4.2044596 3.755552 4.7070259 -0.20446 -0.099713 -0.100538 -0.101247 -0.100416 -0.101235 0.0139535 0.0000713 0.0036891 -0.000151 0.0068034 -0.007586 13 3 30.3 5.2899506 1.6658089 0.0783919 5.2899506 4.5365357 6.1684905 -2.289951 -0.995635 -1.084768 -1.102842 -1.012224 -1.100013 0.0325083 0.0172135 0.0778629 -0.00305 0.1435946 -0.152753 14 4 22.9 1.5712559 0.4518753 0.0943581 1.5712559 1.3059579 1.8904478 2.4287441 1.937574 1.6179817 1.6294193 1.9512708 1.634359 0.0139896 0.0270103 0.1156371 -0.004092 0.2132575 -0.204953 15 3 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 0.3000749 0.1826223 0.1793871 0.1799419 0.183187 0.179962 0.0061564 0.0001039 0.003424 -0.000104 0.0063146 -0.00523 16 5 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 2.9571469 2.0689707 1.7425875 1.7508477 2.0787779 1.7542204 0.0094133 0.0205323 0.0886098 -0.003055 0.1634139 -0.153028 The SAS System 09:44 Sunday, March 23, 2014 20 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 17 8 30 5.0359157 1.6165954 0.0735395 5.0359157 4.3599504 5.8166825 2.9640843 1.3208434 1.2154711 1.2323684 1.3392056 1.2354005 0.0272345 0.0251059 -0.090376 0.0035618 -0.16667 0.1783995 18 3 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 0.3000749 0.1826223 0.1793871 0.1799419 0.183187 0.179962 0.0061564 0.0001039 0.003424 -0.000104 0.0063146 -0.00523 19 6 25.4 2.3678633 0.861988 0.0555752 2.3678633 2.1234935 2.640355 3.6321367 2.3603906 1.9730647 1.9803195 2.3690695 1.9834391 0.0073134 0.0206744 0.0730755 -0.002432 0.1347655 -0.121815 20 4 25.4 2.3678633 0.861988 0.0555752 2.3678633 2.1234935 2.640355 1.6321367 1.060665 0.9644572 0.9680034 1.0645649 0.9687445 0.0073134 0.0041747 0.0328372 -0.001093 0.0605582 -0.054739 21 0 27.5 3.34171 1.2064827 0.0453294 3.34171 3.0576257 3.6521886 -3.34171 -1.828034 -2.585231 -2.594153 -1.834343 -2.589696 0.0068664 0.0116319 0.0090379 -0.00058 0.0166677 -0.029054 22 3 27 3.0785543 1.1244601 0.0445198 3.0785543 2.8213143 3.3592488 -0.078554 -0.044771 -0.044963 -0.045101 -0.044908 -0.0451 0.0061017 6.1906E-6 -0.000214 2.1274E-6 -0.000395 0.0001066 23 0 24 1.8819808 0.6323249 0.0757037 1.8819808 1.6224678 2.1830028 -1.881981 -1.371853 -1.940093 -1.950641 -1.379312 -1.945374 0.0107857 0.0103718 -0.066735 0.0023263 -0.123072 0.1165171 24 0 28.7 4.0687538 1.4033368 0.0551588 4.0687538 3.6518264 4.5332816 -4.068754 -2.017115 -2.852632 -2.870454 -2.029717 -2.861557 0.0123792 0.0258192 0.0644059 -0.002681 0.1187771 -0.134275 The SAS System 09:44 Sunday, March 23, 2014 21 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 25 1 26.5 2.8361218 1.0424376 0.0459193 2.8361218 2.5920195 3.1032124 -1.836122 -1.090283 -1.259908 -1.263692 -1.093557 -1.262743 0.0059802 0.0035973 -0.014969 0.0004179 -0.027605 0.0209299 26 1 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 -1.042853 -0.729633 -0.810562 -0.814405 -0.733092 -0.813677 0.0094133 0.0025535 -0.031249 0.0010775 -0.057629 0.0539662 27 1 27.3 3.2338508 1.1736736 0.0447408 3.2338508 2.9623511 3.5302336 -2.233851 -1.242208 -1.456144 -1.46088 -1.246248 -1.459592 0.0064733 0.0050597 0.0011874 -0.000208 0.0021898 -0.010436 28 4 26.5 2.8361218 1.0424376 0.0459193 2.8361218 2.5920195 3.1032124 1.1638782 0.6911067 0.6504598 0.6524136 0.6931825 0.6526649 0.0059802 0.0014454 0.0094883 -0.000265 0.0174982 -0.013267 29 2 25 2.2174767 0.7963699 0.0606971 2.2174767 1.9687636 2.4976096 -0.217477 -0.146044 -0.148534 -0.149145 -0.146644 -0.149124 0.0081695 0.0000886 -0.005326 0.0001807 -0.009821 0.0090511 30 0 22 1.3555871 0.3042347 0.1105285 1.3555871 1.0915544 1.683486 -1.355587 -1.164297 -1.646564 -1.66037 -1.174059 -1.653482 0.0165606 0.0116059 -0.078096 0.0027844 -0.144024 0.1394609 31 2 30.2 5.2038794 1.6494044 0.0767566 5.2038794 4.4770498 6.0487067 -3.203879 -1.40447 -1.607087 -1.632305 -1.426508 -1.626382 0.030659 0.032181 0.1051644 -0.004127 0.1939438 -0.206711 32 0 25.4 2.3678633 0.861988 0.0555752 2.3678633 2.1234935 2.640355 -2.367863 -1.538786 -2.176172 -2.184174 -1.544444 -2.180177 0.0073134 0.0087866 -0.047639 0.0015855 -0.087856 0.0794134 The SAS System 09:44 Sunday, March 23, 2014 22 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 33 6 24.9 2.1813969 0.7799654 0.0620722 2.1813969 1.9315179 2.4636025 3.8186031 2.5854562 2.1223388 2.1313144 2.5963903 2.1356454 0.0084048 0.0285696 0.0976866 -0.003327 0.1801533 -0.166652 34 10 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 7.4715512 4.6987646 3.5435123 3.5553108 4.7144097 3.5642319 0.0066261 0.0741259 0.1177563 -0.0038 0.2171657 -0.190341 35 5 27.2 3.1812339 1.1572691 0.0445779 3.1812339 2.915082 3.4716858 1.8187661 1.0197156 0.9402955 0.9432818 1.0229541 0.9438066 0.0063217 0.0033287 0.0010082 0.0000967 0.0018594 0.0048411 36 3 30.5 5.4663872 1.6986179 0.0817107 5.4663872 4.6574492 6.4158271 -2.466387 -1.054899 -1.154444 -1.176106 -1.074693 -1.172559 0.0364971 0.0218748 0.0897332 -0.003502 0.1654856 -0.175425 37 8 25 2.2174767 0.7963699 0.0606971 2.2174767 1.9687636 2.4976096 5.7825233 3.883183 2.9940105 3.0063158 3.8991426 3.0146812 0.0081695 0.0626132 0.1416016 -0.004805 0.2611412 -0.240662 38 9 30 5.0359157 1.6165954 0.0735395 5.0359157 4.3599504 5.8166825 3.9640843 1.7664594 1.5884448 1.6105272 1.7910165 1.6157098 0.0272345 0.0449035 -0.120866 0.0047635 -0.2229 0.2385865 39 0 22.9 1.5712559 0.4518753 0.0943581 1.5712559 1.3059579 1.8904478 -1.571256 -1.253497 -1.772713 -1.785245 -1.262359 -1.77899 0.0139896 0.0113047 -0.07481 0.0026473 -0.137965 0.132593 40 2 23.9 1.8513597 0.6159203 0.0773278 1.8513597 1.5909967 2.1543306 0.1486403 0.1092424 0.1078274 0.1084293 0.1098521 0.1084451 0.0110704 0.0000675 0.0054344 -0.00019 0.0100222 -0.009505 The SAS System 09:44 Sunday, March 23, 2014 23 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 41 3 26 2.6127806 0.960415 0.0493403 2.6127806 2.371944 2.8780708 0.3872194 0.2395552 0.2339761 0.2347238 0.2403207 0.2347598 0.0063607 0.0001849 0.0052603 -0.000166 0.0097009 -0.008306 42 0 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 -2.528449 -1.59011 -2.248755 -2.256242 -1.595404 -2.252502 0.0066261 0.008489 -0.03985 0.001286 -0.073491 0.0644132 43 4 29 4.2740006 1.4525503 0.0588966 4.2740006 3.8080417 4.796975 -0.274001 -0.132536 -0.133991 -0.134996 -0.13353 -0.134974 0.0148257 0.0001342 0.0052483 -0.000214 0.0096789 -0.010731 44 0 26.5 2.8361218 1.0424376 0.0459193 2.8361218 2.5920195 3.1032124 -2.836122 -1.684079 -2.381647 -2.388801 -1.689137 -2.385227 0.0059802 0.0085826 -0.023121 0.0006455 -0.042639 0.0323289 45 0 22.5 1.4714631 0.3862572 0.1014703 1.4714631 1.2060844 1.7952339 -1.471463 -1.213039 -1.715496 -1.728641 -1.222334 -1.722081 0.0151505 0.0114923 -0.07659 0.0027203 -0.141247 0.1362502 46 0 23.8 1.8212368 0.5995158 0.078969 1.8212368 1.5600837 2.1261061 -1.821237 -1.349532 -1.908527 -1.919458 -1.357262 -1.914 0.0113574 0.0105813 -0.068593 0.0023994 -0.126499 0.1201774 47 0 24.3 1.9769166 0.6815384 0.0709455 1.9769166 1.7202811 2.2718377 -1.976917 -1.406029 -1.988425 -1.998392 -1.413077 -1.993415 0.0099504 0.0100342 -0.063579 0.0022028 -0.117251 0.1103316 48 14 26 2.6127806 0.960415 0.0493403 2.6127806 2.371944 2.8780708 11.387219 7.0447602 4.9221485 4.9378778 7.0672725 4.9543153 0.0063607 0.1598642 0.1546918 -0.004877 0.2852822 -0.244255 The SAS System 09:44 Sunday, March 23, 2014 24 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 49 0 24.7 2.1109887 0.7471564 0.0649192 2.1109887 1.8587739 2.3974262 -2.110989 -1.452924 -2.054745 -2.063947 -1.459431 -2.059351 0.0088968 0.0095598 -0.058626 0.0020101 -0.108118 0.1006789 50 1 22.5 1.4714631 0.3862572 0.1014703 1.4714631 1.2060844 1.7952339 -0.471463 -0.388663 -0.41281 -0.415973 -0.391641 -0.415615 0.0151505 0.0011798 -0.02454 0.0008716 -0.045256 0.0436552 51 3 28.7 4.0687538 1.4033368 0.0551588 4.0687538 3.6518264 4.5332816 -1.068754 -0.529843 -0.556022 -0.559496 -0.533153 -0.559178 0.0123792 0.0017815 0.0169177 -0.000704 0.0311996 -0.03527 52 4 29.3 4.4896009 1.5017638 0.0629831 4.4896009 3.9682261 5.0794779 -0.489601 -0.231067 -0.23547 -0.237595 -0.233153 -0.237517 0.0178097 0.0004928 0.0110199 -0.000444 0.0203229 -0.022218 53 5 26.7 2.9307155 1.0752466 0.0451003 2.9307155 2.6827746 3.201571 2.0692845 1.2087413 1.0969705 1.1002548 1.2123603 1.1009569 0.0059612 0.0044072 0.012377 -0.000305 0.0228255 -0.015275 54 0 23.4 1.7055673 0.5338978 0.0856847 1.7055673 1.441896 2.0174548 -1.705567 -1.305974 -1.846926 -1.858599 -1.314228 -1.852772 0.012522 0.0109511 -0.071767 0.002525 -0.132352 0.1264711 55 6 27.7 3.4531666 1.2392917 0.0462564 3.4531666 3.1538717 3.780864 2.5468334 1.3705402 1.2393332 1.2439372 1.3756316 1.2449613 0.0073886 0.007043 -0.012428 0.0006469 -0.022921 0.0323998 56 6 28.2 3.7483443 1.3213142 0.0499141 3.7483443 3.3990103 4.1335812 2.2516557 1.1630068 1.0686588 1.0736839 1.1684756 1.0746079 0.0093387 0.0064353 -0.023271 0.001026 -0.042917 0.0513904 The SAS System 09:44 Sunday, March 23, 2014 25 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 57 5 24.7 2.1109887 0.7471564 0.0649192 2.1109887 1.8587739 2.3974262 2.8890113 1.9884116 1.6866512 1.6942045 1.9973163 1.69714 0.0088968 0.0179051 0.0802329 -0.002751 0.1479652 -0.137785 58 5 25.7 2.4873092 0.9112015 0.0522078 2.4873092 2.2453828 2.7553018 2.5126908 1.5932141 1.3989219 1.4036882 1.5986424 1.405101 0.0067796 0.0087222 0.0423373 -0.001379 0.0780782 -0.069073 59 0 27.8 3.5102813 1.2556962 0.0468408 3.5102813 3.2023658 3.8478037 -3.510281 -1.873574 -2.649634 -2.659897 -1.880831 -2.654771 0.0077018 0.0137284 0.0209523 -0.001033 0.0386401 -0.051733 60 3 27 3.0785543 1.1244601 0.0445198 3.0785543 2.8213143 3.3592488 -0.078554 -0.044771 -0.044963 -0.045101 -0.044908 -0.0451 0.0061017 6.1906E-6 -0.000214 2.1274E-6 -0.000395 0.0001066 61 10 29 4.2740006 1.4525503 0.0588966 4.2740006 3.8080417 4.796975 5.7259994 2.7697082 2.3555673 2.3732253 2.7904708 2.3799456 0.0148257 0.0585905 -0.109677 0.0044772 -0.202267 0.2242482 62 7 25.6 2.446839 0.894797 0.0532791 2.446839 2.2042158 2.7161684 4.553161 2.9107862 2.3683881 2.3766563 2.920948 2.380866 0.0069458 0.0298376 0.0816777 -0.002682 0.1506298 -0.134339 63 0 24.2 1.9447508 0.6651339 0.0725113 1.9447508 1.6871055 2.2417424 -1.944751 -1.394543 -1.972182 -1.982343 -1.401728 -1.977269 0.0102253 0.0101493 -0.064681 0.0022459 -0.119285 0.1124894 64 0 25.7 2.4873092 0.9112015 0.0522078 2.4873092 2.2453828 2.7553018 -2.487309 -1.577121 -2.230385 -2.237984 -1.582494 -2.234188 0.0067796 0.0085469 -0.04191 0.0013651 -0.07729 0.0683748 The SAS System 09:44 Sunday, March 23, 2014 26 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 65 0 23.1 1.6236623 0.4846843 0.0908565 1.6236623 1.3588094 1.9401391 -1.623662 -1.27423 -1.802033 -1.814233 -1.282856 -1.808143 0.0134032 0.0111788 -0.073708 0.0026027 -0.135933 0.1303624 66 0 28.5 3.9374281 1.3705277 0.0528975 3.9374281 3.5496552 4.3675623 -3.937428 -1.984295 -2.806217 -2.821805 -1.995318 -2.814022 0.0110175 0.0221763 0.05365 -0.002273 0.0989412 -0.113864 67 5 29.7 4.7940801 1.5673818 0.0688663 4.7940801 4.1887666 5.4868667 0.2059199 0.0940471 0.0933857 0.0944657 0.0951349 0.094481 0.0227363 0.0001053 -0.005568 0.0002211 -0.010268 0.0110746 68 0 23.1 1.6236623 0.4846843 0.0908565 1.6236623 1.3588094 1.9401391 -1.623662 -1.27423 -1.802033 -1.814233 -1.282856 -1.808143 0.0134032 0.0111788 -0.073708 0.0026027 -0.135933 0.1303624 69 1 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 -1.042853 -0.729633 -0.810562 -0.814405 -0.733092 -0.813677 0.0094133 0.0025535 -0.031249 0.0010775 -0.057629 0.0539662 70 1 27.5 3.34171 1.2064827 0.0453294 3.34171 3.0576257 3.6521886 -2.34171 -1.280999 -1.506803 -1.512003 -1.28542 -1.510563 0.0068664 0.0057119 0.0063333 -0.000406 0.0116799 -0.020359 71 1 26.3 2.7445814 1.0096286 0.047064 2.7445814 2.5027367 3.009796 -1.744581 -1.05306 -1.212397 -1.216099 -1.056276 -1.215191 0.0060793 0.0034121 -0.018011 0.000537 -0.033217 0.0268973 72 3 27.8 3.5102813 1.2556962 0.0468408 3.5102813 3.2023658 3.8478037 -0.510281 -0.272357 -0.279391 -0.280473 -0.273412 -0.280419 0.0077018 0.0002901 0.0030458 -0.00015 0.005617 -0.00752 The SAS System 09:44 Sunday, March 23, 2014 27 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 73 2 31.9 6.8776776 1.928281 0.1062496 6.8776776 5.5847273 8.4699659 -4.877678 -1.859911 -2.19427 -2.284758 -1.936611 -2.259649 0.077642 0.1578527 0.2652591 -0.010187 0.4891899 -0.510223 74 5 25 2.2174767 0.7963699 0.0606971 2.2174767 1.9687636 2.4976096 2.7825233 1.8685696 1.6017594 1.6083425 1.8762493 1.6107118 0.0081695 0.014498 0.068138 -0.002312 0.1256599 -0.115805 75 0 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 -2.699925 -1.643145 -2.323758 -2.330944 -1.648226 -2.327354 0.0061564 0.0084141 -0.030808 0.0009394 -0.056816 0.0470536 76 3 28.4 3.8733634 1.3541232 0.0518453 3.8733634 3.4991088 4.2876473 -0.873363 -0.443763 -0.462235 -0.46466 -0.446091 -0.464471 0.0104114 0.0010468 0.0109406 -0.000469 0.0201767 -0.023479 77 6 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 3.9571469 2.7686216 2.2393416 2.2499565 2.7817454 2.2555471 0.0094133 0.0367668 0.1185745 -0.004088 0.2186746 -0.204777 78 7 27.9 3.5683407 1.2721007 0.047502 3.5683407 3.2511162 3.916518 3.4316593 1.8166489 1.6031262 1.6096195 1.824007 1.6114596 0.0080518 0.0135028 -0.024223 0.001148 -0.044672 0.0574994 79 6 25 2.2174767 0.7963699 0.0606971 2.2174767 1.9687636 2.4976096 3.7825233 2.5401074 2.092756 2.1013571 2.5505471 2.1054151 0.0081695 0.0267914 0.0926259 -0.003143 0.1708204 -0.157424 80 3 29 4.2740006 1.4525503 0.0588966 4.2740006 3.8080417 4.796975 -1.274001 -0.616243 -0.651439 -0.656323 -0.620863 -0.655811 0.0148257 0.0029004 0.0244025 -0.000996 0.0450031 -0.049894 The SAS System 09:44 Sunday, March 23, 2014 28 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 81 4 31.7 6.6556893 1.895472 0.1026373 6.6556893 5.442871 8.1387563 -2.655689 -1.029392 -1.112635 -1.15382 -1.067495 -1.147979 0.0701138 0.0429611 0.1370903 -0.005274 0.2528215 -0.264142 82 4 27.6 3.3969812 1.2228872 0.0457517 3.3969812 3.1056266 3.7156693 0.6030188 0.3271781 0.318151 0.3192882 0.3283476 0.3193535 0.0071106 0.0003861 -0.002287 0.0001289 -0.004217 0.0064566 83 0 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 -2.042853 -1.429284 -2.021313 -2.030894 -1.436059 -2.026109 0.0094133 0.0097987 -0.061213 0.0021106 -0.112889 0.1057149 84 0 23.8 1.8212368 0.5995158 0.078969 1.8212368 1.5600837 2.1261061 -1.821237 -1.349532 -1.908527 -1.919458 -1.357262 -1.914 0.0113574 0.0105813 -0.068593 0.0023994 -0.126499 0.1201774 85 8 28.2 3.7483443 1.3213142 0.0499141 3.7483443 3.3990103 4.1335812 4.2516557 2.1960304 1.9043964 1.9133515 2.2063568 1.916295 0.0093387 0.0229447 -0.043942 0.0019374 -0.081037 0.0970373 86 0 24.1 1.9131084 0.6487294 0.0740978 1.9131084 1.6545025 2.2121356 -1.913108 -1.383152 -1.956072 -1.966427 -1.390474 -1.961256 0.0105039 0.010262 -0.065733 0.002287 -0.121225 0.1145504 87 0 28 3.6273603 1.2885052 0.0482369 3.6273603 3.3001325 3.9870347 -3.62736 -1.904563 -2.693459 -2.704898 -1.912652 -2.699184 0.0084401 0.0155694 0.0295614 -0.00136 0.0545169 -0.068106 88 9 26 2.6127806 0.960415 0.0493403 2.6127806 2.371944 2.8780708 6.3872194 3.9514852 3.0802813 3.0901247 3.9641126 3.0964636 0.0063607 0.0502967 0.0867684 -0.002735 0.160018 -0.137005 The SAS System 09:44 Sunday, March 23, 2014 29 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 89 0 24.7 2.1109887 0.7471564 0.0649192 2.1109887 1.8587739 2.3974262 -2.110989 -1.452924 -2.054745 -2.063947 -1.459431 -2.059351 0.0088968 0.0095598 -0.058626 0.0020101 -0.108118 0.1006789 90 0 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 -2.528449 -1.59011 -2.248755 -2.256242 -1.595404 -2.252502 0.0066261 0.008489 -0.03985 0.001286 -0.073491 0.0644132 91 8 27.1 3.129473 1.1408646 0.0445041 3.129473 2.8680665 3.4147051 4.870527 2.7532164 2.296993 2.304145 2.7617889 2.3072612 0.0061983 0.0237861 0.0079875 0.0000634 0.0147306 0.0031776 92 5 27.4 3.2873381 1.1900781 0.0449918 3.2873381 3.0098669 3.5903886 1.7126619 0.9446033 0.8765123 0.8794433 0.947762 0.8799154 0.0066544 0.0030087 -0.002771 0.0002285 -0.00511 0.0114448 93 2 26.7 2.9307155 1.0752466 0.0451003 2.9307155 2.6827746 3.201571 -0.930715 -0.543663 -0.57709 -0.578818 -0.545291 -0.578624 0.0059612 0.0008916 -0.005567 0.0001372 -0.010266 0.0068703 94 5 26.8 2.9791889 1.0916511 0.0448188 2.9791889 2.7286523 3.2527291 2.0208111 1.1707837 1.0659484 1.0691523 1.1743028 1.0698123 0.0059844 0.004151 0.0098938 -0.000217 0.0182461 -0.010859 95 0 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 -2.528449 -1.59011 -2.248755 -2.256242 -1.595404 -2.252502 0.0066261 0.008489 -0.03985 0.001286 -0.073491 0.0644132 96 0 23.7 1.791604 0.5831113 0.0806262 1.791604 1.5297234 2.0983173 -1.791604 -1.338508 -1.892936 -1.904057 -1.346371 -1.898505 0.0116465 0.0106803 -0.069453 0.0024333 -0.128084 0.1218758 The SAS System 09:44 Sunday, March 23, 2014 30 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 97 6 27.9 3.5683407 1.2721007 0.047502 3.5683407 3.2511162 3.916518 2.4316593 1.2872698 1.1715744 1.1763197 1.2924837 1.1773008 0.0080518 0.0067799 -0.017164 0.0008135 -0.031654 0.0407438 98 5 30 5.0359157 1.6165954 0.0735395 5.0359157 4.3599504 5.8166825 -0.035916 -0.016005 -0.016024 -0.016246 -0.016227 -0.016246 0.0272345 3.6861E-6 0.0010951 -0.000043 0.0020195 -0.002162 99 4 25 2.2174767 0.7963699 0.0606971 2.2174767 1.9687636 2.4976096 1.7825233 1.1970318 1.0744063 1.078822 1.2019515 1.0798848 0.0081695 0.0059498 0.0436502 -0.001481 0.0804995 -0.074187 100 5 27.7 3.4531666 1.2392917 0.0462564 3.4531666 3.1538717 3.780864 1.5468334 0.8324052 0.7796125 0.7825087 0.8354975 0.7829133 0.0073886 0.002598 -0.007548 0.0003929 -0.013921 0.0196782 101 15 28.3 3.8103412 1.3377187 0.0508497 3.8103412 3.4488993 4.2096618 11.189659 5.7323792 4.3278894 4.3493682 5.7608284 4.365501 0.0098524 0.1651128 -0.1279 0.005552 -0.235874 0.2780814 102 0 25.5 2.4070273 0.8783925 0.0544027 2.4070273 2.1635821 2.6778647 -2.407027 -1.55146 -2.194095 -2.201953 -1.557016 -2.198028 0.007124 0.0086973 -0.045802 0.0015148 -0.084469 0.0758713 103 5 26 2.6127806 0.960415 0.0493403 2.6127806 2.371944 2.8780708 2.3872194 1.4768652 1.3098817 1.3140676 1.4815847 1.3152005 0.0063607 0.0070259 0.0324296 -0.001022 0.0598066 -0.051206 104 0 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 -2.699925 -1.643145 -2.323758 -2.330944 -1.648226 -2.327354 0.0061564 0.0084141 -0.030808 0.0009394 -0.056816 0.0470536 The SAS System 09:44 Sunday, March 23, 2014 31 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 105 1 23 1.5972442 0.4682798 0.0926023 1.5972442 1.3321345 1.9151136 -0.597244 -0.47257 -0.507867 -0.511381 -0.47584 -0.510911 0.0136967 0.0015722 -0.027774 0.0009818 -0.051221 0.0491755 106 0 22.9 1.5712559 0.4518753 0.0943581 1.5712559 1.3059579 1.8904478 -1.571256 -1.253497 -1.772713 -1.785245 -1.262359 -1.77899 0.0139896 0.0113047 -0.07481 0.0026473 -0.137965 0.132593 107 5 25.1 2.2541534 0.8127744 0.0593574 2.2541534 2.0065887 2.5322615 2.7458466 1.8288772 1.5731946 1.5794793 1.8361833 1.5816822 0.0079421 0.0134958 0.0642381 -0.002171 0.1184677 -0.108727 108 4 25.9 2.5702689 0.9440105 0.050235 2.5702689 2.3292626 2.8362119 1.4297311 0.8917951 0.8238984 0.8265834 0.8947014 0.8270433 0.0064862 0.002613 0.0209776 -0.00067 0.0386868 -0.033545 109 0 25.5 2.4070273 0.8783925 0.0544027 2.4070273 2.1635821 2.6778647 -2.407027 -1.55146 -2.194095 -2.201953 -1.557016 -2.198028 0.007124 0.0086973 -0.045802 0.0015148 -0.084469 0.0758713 110 0 26.8 2.9791889 1.0916511 0.0448188 2.9791889 2.7286523 3.2527291 -2.979189 -1.726033 -2.440979 -2.448316 -1.731221 -2.44465 0.0059844 0.009022 -0.014586 0.0003196 -0.026899 0.0160083 111 1 29 4.2740006 1.4525503 0.0588966 4.2740006 3.8080417 4.796975 -3.274001 -1.583658 -1.908638 -1.922946 -1.59553 -1.9185 0.0148257 0.019155 0.0627111 -0.00256 0.1156515 -0.12822 112 1 28.5 3.9374281 1.3705277 0.0528975 3.9374281 3.5496552 4.3675623 -2.937428 -1.480338 -1.770254 -1.780088 -1.488561 -1.777136 0.0110175 0.0123424 0.0400244 -0.001696 0.0738128 -0.084946 The SAS System 09:44 Sunday, March 23, 2014 32 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 113 4 24.7 2.1109887 0.7471564 0.0649192 2.1109887 1.8587739 2.3974262 1.8890113 1.3001444 1.155457 1.1606315 1.3059669 1.1620047 0.0088968 0.007655 0.0524611 -0.001799 0.0967486 -0.090092 114 1 29 4.2740006 1.4525503 0.0588966 4.2740006 3.8080417 4.796975 -3.274001 -1.583658 -1.908638 -1.922946 -1.59553 -1.9185 0.0148257 0.019155 0.0627111 -0.00256 0.1156515 -0.12822 115 6 27 3.0785543 1.1244601 0.0445198 3.0785543 2.8213143 3.3592488 2.9214457 1.665039 1.4712923 1.4758016 1.6701422 1.477065 0.0061017 0.0085623 0.0079621 -0.000079 0.0146836 -0.003963 116 0 23.7 1.791604 0.5831113 0.0806262 1.791604 1.5297234 2.0983173 -1.791604 -1.338508 -1.892936 -1.904057 -1.346371 -1.898505 0.0116465 0.0106803 -0.069453 0.0024333 -0.128084 0.1218758 117 6 27 3.0785543 1.1244601 0.0445198 3.0785543 2.8213143 3.3592488 2.9214457 1.665039 1.4712923 1.4758016 1.6701422 1.477065 0.0061017 0.0085623 0.0079621 -0.000079 0.0146836 -0.003963 118 2 24.2 1.9447508 0.6651339 0.0725113 1.9447508 1.6871055 2.2417424 0.0552492 0.0396181 0.0394327 0.0396359 0.0398222 0.0396378 0.0102253 8.1914E-6 0.0018376 -0.000064 0.0033888 -0.003196 119 4 22.5 1.4714631 0.3862572 0.1014703 1.4714631 1.2060844 1.7952339 2.5285369 2.084465 1.7155825 1.728728 2.100437 1.7349539 0.0151505 0.0339349 0.1316109 -0.004674 0.2427163 -0.23413 120 0 25.1 2.2541534 0.8127744 0.0593574 2.2541534 2.0065887 2.5322615 -2.254153 -1.501384 -2.123277 -2.13176 -1.507382 -2.127523 0.0079421 0.0090952 -0.052735 0.0017821 -0.097254 0.0892572 The SAS System 09:44 Sunday, March 23, 2014 33 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 121 0 24.9 2.1813969 0.7799654 0.0620722 2.1813969 1.9315179 2.4636025 -2.181397 -1.476955 -2.08873 -2.097564 -1.483201 -2.093152 0.0084048 0.0093232 -0.055804 0.0019007 -0.102914 0.0952009 122 6 27.5 3.34171 1.2064827 0.0453294 3.34171 3.0576257 3.6521886 2.65829 1.4541794 1.3064233 1.3109317 1.4591977 1.3120069 0.0068664 0.0073607 -0.00719 0.0004614 -0.013259 0.0231117 123 0 24.3 1.9769166 0.6815384 0.0709455 1.9769166 1.7202811 2.2718377 -1.976917 -1.406029 -1.988425 -1.998392 -1.413077 -1.993415 0.0099504 0.0100342 -0.063579 0.0022028 -0.117251 0.1103316 124 4 29.5 4.6393433 1.5345728 0.0658694 4.6393433 4.0774475 5.2786717 -0.639343 -0.296829 -0.304071 -0.307178 -0.299862 -0.307032 0.0201291 0.0009236 0.0158324 -0.000633 0.029198 -0.031688 125 0 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 -2.699925 -1.643145 -2.323758 -2.330944 -1.648226 -2.327354 0.0061564 0.0084141 -0.030808 0.0009394 -0.056816 0.0470536 126 4 24.7 2.1109887 0.7471564 0.0649192 2.1109887 1.8587739 2.3974262 1.8890113 1.3001444 1.155457 1.1606315 1.3059669 1.1620047 0.0088968 0.007655 0.0524611 -0.001799 0.0967486 -0.090092 127 4 29.8 4.8733733 1.5837864 0.0704019 4.8733733 4.245252 5.5944304 -0.873373 -0.395626 -0.408424 -0.413448 -0.400493 -0.41314 0.0241545 0.0019851 0.024614 -0.000975 0.045393 -0.048826 128 0 25.7 2.4873092 0.9112015 0.0522078 2.4873092 2.2453828 2.7553018 -2.487309 -1.577121 -2.230385 -2.237984 -1.582494 -2.234188 0.0067796 0.0085469 -0.04191 0.0013651 -0.07729 0.0683748 The SAS System 09:44 Sunday, March 23, 2014 34 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 129 2 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 -0.699925 -0.425967 -0.446702 -0.448084 -0.427284 -0.447958 0.0061564 0.0005655 -0.007987 0.0002435 -0.014729 0.0121981 130 0 27 3.0785543 1.1244601 0.0445198 3.0785543 2.8213143 3.3592488 -3.078554 -1.754581 -2.481352 -2.488957 -1.759959 -2.485158 0.0061017 0.0095079 -0.00839 0.0000834 -0.015473 0.0041758 131 0 24.8 2.145904 0.7635609 0.0634803 2.145904 1.8948542 2.4302156 -2.145904 -1.46489 -2.071668 -2.080684 -1.471266 -2.076181 0.0086474 0.0094409 -0.057245 0.0019565 -0.105571 0.0979966 132 0 23.7 1.791604 0.5831113 0.0806262 1.791604 1.5297234 2.0983173 -1.791604 -1.338508 -1.892936 -1.904057 -1.346371 -1.898505 0.0116465 0.0106803 -0.069453 0.0024333 -0.128084 0.1218758 133 11 28.2 3.7483443 1.3213142 0.0499141 3.7483443 3.3990103 4.1335812 7.2516557 3.7455659 3.0300943 3.0443428 3.7631787 3.0518391 0.0093387 0.0667485 -0.074947 0.0033044 -0.138217 0.1655075 134 1 25.2 2.2914366 0.829179 0.0580554 2.2914366 2.0449892 2.5675841 -1.291437 -0.853138 -0.961517 -0.965252 -0.856451 -0.964459 0.0077231 0.0028545 -0.028802 0.0009689 -0.053116 0.048527 135 4 23.2 1.6505173 0.5010888 0.0891212 1.6505173 1.3859898 1.9655322 2.3494827 1.8287831 1.543593 1.5538113 1.8408893 1.557917 0.0131094 0.0225081 0.1040575 -0.00367 0.1919026 -0.183829 136 3 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 0.4715512 0.2965526 0.287985 0.2889439 0.29754 0.2890017 0.0066261 0.0002953 0.0074319 -0.00024 0.013706 -0.012013 The SAS System 09:44 Sunday, March 23, 2014 35 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 137 0 27.5 3.34171 1.2064827 0.0453294 3.34171 3.0576257 3.6521886 -3.34171 -1.828034 -2.585231 -2.594153 -1.834343 -2.589696 0.0068664 0.0116319 0.0090379 -0.00058 0.0166677 -0.029054 138 0 25.7 2.4873092 0.9112015 0.0522078 2.4873092 2.2453828 2.7553018 -2.487309 -1.577121 -2.230385 -2.237984 -1.582494 -2.234188 0.0067796 0.0085469 -0.04191 0.0013651 -0.07729 0.0683748 139 0 26.8 2.9791889 1.0916511 0.0448188 2.9791889 2.7286523 3.2527291 -2.979189 -1.726033 -2.440979 -2.448316 -1.731221 -2.44465 0.0059844 0.009022 -0.014586 0.0003196 -0.026899 0.0160083 140 3 27.5 3.34171 1.2064827 0.0453294 3.34171 3.0576257 3.6521886 -0.34171 -0.186928 -0.190257 -0.190914 -0.187573 -0.190891 0.0068664 0.0001216 0.0009242 -0.000059 0.0017044 -0.002971 141 9 28.5 3.9374281 1.3705277 0.0528975 3.9374281 3.5496552 4.3675623 5.0625719 2.5513197 2.1806878 2.1928008 2.5654915 2.1972514 0.0110175 0.0366612 -0.068981 0.002923 -0.127214 0.1464019 142 3 28.5 3.9374281 1.3705277 0.0528975 3.9374281 3.5496552 4.3675623 -0.937428 -0.472424 -0.493319 -0.496059 -0.475048 -0.495832 0.0110175 0.001257 0.0127731 -0.000541 0.023556 -0.027109 143 6 27.4 3.2873381 1.1900781 0.0449918 3.2873381 3.0098669 3.5903886 2.7126619 1.4961443 1.3397209 1.3442008 1.5011473 1.3453057 0.0066544 0.0075479 -0.004389 0.0003619 -0.008093 0.0181272 144 3 27.2 3.1812339 1.1572691 0.0445779 3.1812339 2.915082 3.4716858 -0.181234 -0.101611 -0.1026 -0.102925 -0.101934 -0.102919 0.0063217 0.0000331 -0.0001 -9.631E-6 -0.000185 -0.000482 The SAS System 09:44 Sunday, March 23, 2014 36 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 145 0 27.1 3.129473 1.1408646 0.0445041 3.129473 2.8680665 3.4147051 -3.129473 -1.769032 -2.501789 -2.509578 -1.77454 -2.505686 0.0061983 0.0098201 -0.005132 -0.000041 -0.009465 -0.002042 146 1 28 3.6273603 1.2885052 0.0482369 3.6273603 3.3001325 3.9870347 -2.62736 -1.379508 -1.636371 -1.643321 -1.385367 -1.641313 0.0084401 0.0081683 0.0214118 -0.000985 0.0394876 -0.04933 147 0 26.5 2.8361218 1.0424376 0.0459193 2.8361218 2.5920195 3.1032124 -2.836122 -1.684079 -2.381647 -2.388801 -1.689137 -2.385227 0.0059802 0.0085826 -0.023121 0.0006455 -0.042639 0.0323289 148 0 23 1.5972442 0.4682798 0.0926023 1.5972442 1.3321345 1.9151136 -1.597244 -1.263821 -1.787313 -1.79968 -1.272566 -1.793507 0.0136967 0.0112444 -0.074278 0.0026257 -0.136983 0.1315128 149 3 26 2.6127806 0.960415 0.0493403 2.6127806 2.371944 2.8780708 0.3872194 0.2395552 0.2339761 0.2347238 0.2403207 0.2347598 0.0063607 0.0001849 0.0052603 -0.000166 0.0097009 -0.008306 150 0 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 -2.042853 -1.429284 -2.021313 -2.030894 -1.436059 -2.026109 0.0094133 0.0097987 -0.061213 0.0021106 -0.112889 0.1057149 151 0 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 -2.528449 -1.59011 -2.248755 -2.256242 -1.595404 -2.252502 0.0066261 0.008489 -0.03985 0.001286 -0.073491 0.0644132 152 0 23.5 1.7337771 0.5503023 0.0839849 1.7337771 1.4706359 2.0440021 -1.733777 -1.31673 -1.862137 -1.873629 -1.324856 -1.867892 0.0122291 0.0108654 -0.071038 0.0024961 -0.131009 0.1250204 The SAS System 09:44 Sunday, March 23, 2014 37 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 153 0 26.7 2.9307155 1.0752466 0.0451003 2.9307155 2.6827746 3.201571 -2.930715 -1.711933 -2.421039 -2.428288 -1.717059 -2.424666 0.0059612 0.0088404 -0.017529 0.0004319 -0.032328 0.0216338 154 0 25.5 2.4070273 0.8783925 0.0544027 2.4070273 2.1635821 2.6778647 -2.407027 -1.55146 -2.194095 -2.201953 -1.557016 -2.198028 0.007124 0.0086973 -0.045802 0.0015148 -0.084469 0.0758713 155 1 28.2 3.7483443 1.3213142 0.0499141 3.7483443 3.3990103 4.1335812 -2.748344 -1.419552 -1.689396 -1.69734 -1.426227 -1.695009 0.0093387 0.0095876 0.0284047 -0.001252 0.0523838 -0.062727 156 1 25.2 2.2914366 0.829179 0.0580554 2.2914366 2.0449892 2.5675841 -1.291437 -0.853138 -0.961517 -0.965252 -0.856451 -0.964459 0.0077231 0.0028545 -0.028802 0.0009689 -0.053116 0.048527 157 2 25.3 2.3293365 0.8455835 0.0567937 2.3293365 2.0839597 2.6036053 -0.329337 -0.215786 -0.221196 -0.222032 -0.216601 -0.221992 0.0075133 0.0001776 -0.006985 0.0002338 -0.012882 0.01171 158 0 25.7 2.4873092 0.9112015 0.0522078 2.4873092 2.2453828 2.7553018 -2.487309 -1.577121 -2.230385 -2.237984 -1.582494 -2.234188 0.0067796 0.0085469 -0.04191 0.0013651 -0.07729 0.0683748 159 12 29.3 4.4896009 1.5017638 0.0629831 4.4896009 3.9682261 5.0794779 7.5103991 3.544534 2.9282469 2.954676 3.5765255 2.9668911 0.0178097 0.115972 -0.169044 0.0068047 -0.311751 0.3408246 160 6 23.8 1.8212368 0.5995158 0.078969 1.8212368 1.5600837 2.1261061 4.1787632 3.0964534 2.4391386 2.4531089 3.1141885 2.461614 0.0113574 0.0557057 0.1573847 -0.005505 0.2902483 -0.275743 The SAS System 09:44 Sunday, March 23, 2014 38 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 161 3 27.4 3.2873381 1.1900781 0.0449918 3.2873381 3.0098669 3.5903886 -0.287338 -0.158479 -0.160876 -0.161414 -0.159009 -0.161398 0.0066544 0.0000847 0.0004649 -0.000038 0.0008573 -0.00192 162 2 26.2 2.6999251 0.993224 0.0477514 2.6999251 2.4587007 2.9648162 -0.699925 -0.425967 -0.446702 -0.448084 -0.427284 -0.447958 0.0061564 0.0005655 -0.007987 0.0002435 -0.014729 0.0121981 163 4 28 3.6273603 1.2885052 0.0482369 3.6273603 3.3001325 3.9870347 0.3726397 0.1956563 0.192442 0.1932593 0.1964872 0.1932868 0.0084401 0.0001643 -0.003037 0.0001397 -0.005601 0.0069966 164 5 28.4 3.8733634 1.3541232 0.0518453 3.8733634 3.4991088 4.2876473 1.1266366 0.5724528 0.5476072 0.5504803 0.5754563 0.5507462 0.0104114 0.001742 -0.014113 0.0006047 -0.026028 0.0302876 165 7 33.5 8.9419455 2.1907532 0.1359176 8.9419455 6.8507601 11.671462 -1.941945 -0.649413 -0.675343 -0.739147 -0.710767 -0.734534 0.1651898 0.0499827 0.1568405 -0.005965 0.2892448 -0.298748 166 0 25.8 2.5284488 0.927606 0.051192 2.5284488 2.28707 2.7953029 -2.528449 -1.59011 -2.248755 -2.256242 -1.595404 -2.252502 0.0066261 0.008489 -0.03985 0.001286 -0.073491 0.0644132 167 10 24 1.8819808 0.6323249 0.0757037 1.8819808 1.6224678 2.1830028 8.1180192 5.9175573 4.1435693 4.1660974 5.9497304 4.1893882 0.0107857 0.192985 0.2878633 -0.010035 0.5308764 -0.502603 168 0 23.1 1.6236623 0.4846843 0.0908565 1.6236623 1.3588094 1.9401391 -1.623662 -1.27423 -1.802033 -1.814233 -1.282856 -1.808143 0.0134032 0.0111788 -0.073708 0.0026027 -0.135933 0.1303624 The SAS System 09:44 Sunday, March 23, 2014 39 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 169 0 28.3 3.8103412 1.3377187 0.0508497 3.8103412 3.4488993 4.2096618 -3.810341 -1.95201 -2.760558 -2.774259 -1.961697 -2.767417 0.0098524 0.0191459 0.0435531 -0.001891 0.0803205 -0.094693 170 4 26.5 2.8361218 1.0424376 0.0459193 2.8361218 2.5920195 3.1032124 1.1638782 0.6911067 0.6504598 0.6524136 0.6931825 0.6526649 0.0059802 0.0014454 0.0094883 -0.000265 0.0174982 -0.013267 171 7 26.5 2.8361218 1.0424376 0.0459193 2.8361218 2.5920195 3.1032124 4.1638782 2.4724958 2.0786678 2.0849112 2.4799222 2.0874957 0.0059802 0.0184998 0.0339451 -0.000948 0.0626014 -0.047464 172 3 26.1 2.6559955 0.9768195 0.0485113 2.6559955 2.4150964 2.9209236 0.3440045 0.2110816 0.2067547 0.2074039 0.2117444 0.2074313 0.0062505 0.000141 0.0042992 -0.000134 0.0079285 -0.006687 173 0 24.5 2.0428531 0.7143474 0.0678818 2.0428531 1.7883644 2.3335561 -2.042853 -1.429284 -2.021313 -2.030894 -1.436059 -2.026109 0.0094133 0.0097987 -0.061213 0.0021106 -0.112889 0.1057149 The SAS System 09:44 Sunday, March 23, 2014 40 The GENMOD Procedure Model Information Data Set WORK.CRAB Distribution Negative Binomial Link Function Log Dependent Variable Sa Number of Observations Read 173 Number of Observations Used 173 Parameter Information Parameter Effect Prm1 Intercept Prm2 W Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 171 195.8112 1.1451 Scaled Deviance 171 195.8112 1.1451 Pearson Chi-Square 171 144.7507 0.8465 Scaled Pearson X2 171 144.7507 0.8465 Log Likelihood 154.3889 Full Log Likelihood -375.6455 AIC (smaller is better) 757.2910 AICC (smaller is better) 757.4330 BIC (smaller is better) 766.7508 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 -4.0525 1.2642 -6.5303 -1.5747 10.28 0.0013 W 1 0.1921 0.0476 0.0987 0.2854 16.27 <.0001 Dispersion 1 1.1055 0.1971 0.7795 1.5679 NOTE: The negative binomial dispersion parameter was estimated by maximum likelihood. The SAS System 09:44 Sunday, March 23, 2014 41 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 1 8 28.3 3.9874906 1.3831621 0.1270055 1.3420556 3.1087973 5.1145443 4.0125094 0.8640543 0.688235 0.6920373 0.8688279 0.6942186 0.0109583 0.0041818 -0.062872 0.0026156 -0.049733 0.0549276 2 4 26 2.5635518 0.9413937 0.0954317 0.9455749 2.126231 3.0908203 1.4364482 0.4581867 0.3997572 0.4009788 0.4595869 0.4013612 0.0060839 0.0006465 0.0130427 -0.00037 0.010317 -0.007764 3 0 25.6 2.3739719 0.8645644 0.1016601 0.1807162 1.9451017 2.8974024 -2.373972 -0.809316 -1.526308 -1.53143 -0.812032 -1.52775 0.0066773 0.0022163 -0.036395 0.0011591 -0.028789 0.0243407 4 0 21 0.9812065 -0.018972 0.2767779 0.2257685 0.5703831 1.6879291 -0.981207 -0.68605 -1.152847 -1.171599 -0.697209 -1.159523 0.0317547 0.0079711 -0.141951 0.0051978 -0.112285 0.1091546 5 1 29 4.5613259 1.5176134 0.1517557 0.2630307 3.3877895 6.1413776 -3.561326 -0.678354 -0.990273 -0.9981 -0.683715 -0.993954 0.0156226 0.0037095 0.0717582 -0.002902 0.0567618 -0.060936 6 3 25 2.115562 0.7493205 0.1163472 0.8191977 1.6841892 2.6574229 0.884438 0.3327839 0.2999924 0.301236 0.3341634 0.301522 0.0082392 0.0004638 0.0229932 -0.000781 0.018188 -0.016397 7 0 26.2 2.6639457 0.9798084 0.0936245 0.1711722 2.2173388 3.2005063 -2.663946 -0.82175 -1.575736 -1.58043 -0.824198 -1.577014 0.0059318 0.0020268 -0.01651 0.0004024 -0.013059 0.0084499 8 0 24.9 2.0753155 0.7301132 0.1192856 0.1912353 1.6426615 2.6219245 -2.075316 -0.793712 -1.468611 -1.474947 -0.797136 -1.470465 0.0085722 0.0027471 -0.057972 0.0019809 -0.045856 0.0415995 The SAS System 09:44 Sunday, March 23, 2014 42 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 9 8 25.7 2.4200102 0.8837718 0.0997991 1.7635924 1.9900686 2.942838 5.5799898 1.8710145 1.258877 1.2629845 1.8771193 1.2679325 0.0064938 0.0115155 0.0764773 -0.002389 0.0604947 -0.050176 10 6 27.5 3.4195315 1.2295035 0.1047209 1.1422286 2.7850183 4.1986064 2.5804685 0.638246 0.5335551 0.5355755 0.6406627 0.5364438 0.0075304 0.0015571 -0.023184 0.0010513 -0.018339 0.0220767 11 5 26.1 2.6132667 0.9606011 0.0944124 1.1278784 2.1717995 3.1444721 2.3867333 0.7486778 0.6104473 0.6122855 0.7509323 0.6132102 0.0059955 0.0017006 0.0181843 -0.000486 0.014384 -0.010199 12 4 28.9 4.4745511 1.498406 0.1480139 0.6860712 3.3478024 5.9805225 -0.474551 -0.091997 -0.095158 -0.095872 -0.092688 -0.095826 0.0148579 0.0000648 0.0092915 -0.000377 0.0073497 -0.007914 13 3 30.3 5.8550734 1.7673085 0.2043004 0.4525841 3.9231191 8.7384255 -2.855073 -0.431628 -0.523119 -0.530781 -0.43795 -0.528347 0.0286606 0.0028297 0.0734673 -0.0029 0.0581137 -0.06089 14 4 22.9 1.4133557 0.3459668 0.1939083 1.1670655 0.9664879 2.0668384 2.5866443 1.3591959 0.9852514 0.9945788 1.3720635 1.0029282 0.0186686 0.0179066 0.1997619 -0.007203 0.1580146 -0.15126 15 3 26.2 2.6639457 0.9798084 0.0936245 0.7388647 2.2173388 3.2005063 0.3360543 0.103663 0.1000856 0.1003837 0.1039718 0.1004054 0.0059318 0.0000323 0.0020827 -0.000051 0.0016474 -0.001066 16 5 24.5 1.9218416 0.6532839 0.1321063 1.284922 1.483435 2.4898127 3.0781584 1.2561319 0.9281834 0.932904 1.2625203 0.9368109 0.0100945 0.0081271 0.1112875 -0.003876 0.0880301 -0.08139 The SAS System 09:44 Sunday, March 23, 2014 43 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 17 8 30 5.5272288 1.7096866 0.1916793 1.0762098 3.7962054 8.0475777 2.4727712 0.3944434 0.3501161 0.3546005 0.3994955 0.3557982 0.0251326 0.0020572 -0.061121 0.0024218 -0.048348 0.0508585 18 3 26.2 2.6639457 0.9798084 0.0936245 0.7388647 2.2173388 3.2005063 0.3360543 0.103663 0.1000856 0.1003837 0.1039718 0.1004054 0.0059318 0.0000323 0.0020827 -0.000051 0.0016474 -0.001066 19 6 25.4 2.284506 0.8261498 0.1059277 1.4029458 1.8562075 2.8116295 3.715494 1.3092083 0.9593814 0.9628112 1.3138888 0.9657587 0.0071119 0.0061826 0.069514 -0.002278 0.0549866 -0.047841 20 4 25.4 2.284506 0.8261498 0.1059277 0.9965639 1.8562075 2.8116295 1.715494 0.6044792 0.5088684 0.5106876 0.6066403 0.5114336 0.0071119 0.001318 0.0320956 -0.001052 0.0253881 -0.022089 21 0 27.5 3.4195315 1.2295035 0.1047209 0.1496435 2.7850183 4.1986064 -3.419531 -0.845777 -1.682378 -1.688749 -0.84898 -1.683991 0.0075304 0.0027344 0.0307229 -0.001393 0.0243023 -0.029255 22 3 27 3.1064076 1.1334669 0.095984 0.6819816 2.5736929 3.7493859 -0.106408 -0.028671 -0.028966 -0.029059 -0.028762 -0.029057 0.006361 2.648E-6 0.0004078 -0.000023 0.0003225 -0.000488 23 0 24 1.7458601 0.5572473 0.1500042 0.2033574 1.3011447 2.3425737 -1.74586 -0.771911 -1.394581 -1.403301 -0.776738 -1.397258 0.0123888 0.0037841 -0.082998 0.0029356 -0.065652 0.0616467 24 0 28.7 4.3059225 1.4599914 0.1407153 0.1297752 3.2680531 5.6733987 -4.305922 -0.864598 -1.779816 -1.791888 -0.870462 -1.782672 0.0134277 0.0051564 0.0791088 -0.003231 0.0625762 -0.067843 The SAS System 09:44 Sunday, March 23, 2014 44 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 25 1 26.5 2.8219562 1.0374303 0.0926994 0.3500904 2.3531218 3.3842009 -1.821956 -0.534357 -0.694198 -0.696252 -0.535939 -0.695416 0.0058935 0.0008514 -0.003941 4.2765E-6 -0.003117 0.0000898 26 1 24.5 1.9218416 0.6532839 0.1321063 0.4144624 1.483435 2.4898127 -0.921842 -0.376184 -0.443955 -0.446213 -0.378097 -0.445578 0.0100945 0.0007289 -0.033328 0.0011607 -0.026363 0.0243744 27 1 27.3 3.2906625 1.1910889 0.1006429 0.3221139 2.7015683 4.0082123 -2.290662 -0.586357 -0.79112 -0.793894 -0.588413 -0.792645 0.0069757 0.0012161 0.0160795 -0.000768 0.0127191 -0.01613 28 4 26.5 2.8219562 1.0374303 0.0926994 0.9015388 2.3531218 3.3842009 1.1780438 0.3455055 0.3105321 0.3114513 0.3465281 0.3116696 0.0058935 0.000356 0.0025482 -2.765E-6 0.0020156 -0.000058 29 2 25 2.115562 0.7493205 0.1163472 0.6093928 1.6841892 2.6574229 -0.115562 -0.043482 -0.044174 -0.044357 -0.043662 -0.044352 0.0082392 7.9189E-6 -0.003004 0.000102 -0.002376 0.0021424 30 0 22 1.1889861 0.1731009 0.2324563 0.2219683 0.7538928 1.8751842 -1.188986 -0.716749 -1.232135 -1.247621 -0.725757 -1.237397 0.0246715 0.0066619 -0.126696 0.0046091 -0.100218 0.096791 31 2 30.2 5.7436863 1.7481012 0.2000685 0.3414274 3.8805392 8.5013784 -3.743686 -0.576197 -0.768475 -0.779244 -0.584272 -0.774547 0.0274494 0.0048175 0.0951288 -0.003759 0.0752483 -0.078941 32 0 25.4 2.284506 0.8261498 0.1059277 0.1838001 1.8562075 2.8116295 -2.284506 -0.804979 -1.509822 -1.51522 -0.807857 -1.511358 0.0071119 0.0023373 -0.042741 0.0014007 -0.033809 0.0294153 The SAS System 09:44 Sunday, March 23, 2014 45 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 33 6 24.9 2.0753155 0.7301132 0.1192856 1.4596991 1.6426615 2.6219245 3.9246845 1.5010103 1.0658105 1.0704083 1.5074855 1.0749105 0.0085722 0.0098244 0.1096315 -0.003746 0.0867202 -0.07867 34 10 25.8 2.4669414 0.9029791 0.0981341 2.1407197 2.0352931 2.9901344 7.5330586 2.4842791 1.5466394 1.5515606 2.4921837 1.5593045 0.0063335 0.0197939 0.0913201 -0.002785 0.0722356 -0.058488 35 5 27.2 3.2280608 1.1718816 0.0988852 1.0095279 2.6593192 3.9184377 1.7719392 0.4614083 0.4023868 0.4037502 0.4629717 0.4041785 0.0067422 0.0007275 -0.010613 0.0005272 -0.008395 0.0110708 36 3 30.5 6.0843699 1.8057232 0.2128315 0.4399543 4.0091578 9.2337492 -3.08437 -0.449856 -0.551062 -0.559862 -0.45704 -0.556941 0.0311891 0.0033623 0.0812068 -0.003198 0.0642358 -0.067149 37 8 25 2.115562 0.7493205 0.1163472 1.8682225 1.6841892 2.6574229 5.884438 2.2141137 1.4232181 1.4291177 2.2232918 1.4374549 0.0082392 0.0205325 0.1529808 -0.005195 0.1210101 -0.109093 38 9 30 5.5272288 1.7096866 0.1916793 1.1970702 3.7962054 8.0475777 3.4727712 0.5539581 0.4724888 0.4785406 0.5610534 0.4807879 0.0251326 0.0040576 -0.085839 0.0034012 -0.0679 0.0714259 39 0 22.9 1.4133557 0.3459668 0.1939083 0.2152463 0.9664879 2.0668384 -1.413356 -0.742672 -1.304738 -1.31709 -0.749702 -1.308753 0.0186686 0.0053462 -0.109151 0.0039357 -0.08634 0.0826493 40 2 23.9 1.7126468 0.53804 0.1537763 0.6569191 1.2669899 2.3150611 0.2873532 0.1290872 0.1235634 0.1243679 0.1299276 0.1244412 0.0128949 0.0001103 0.0143591 -0.000509 0.0113583 -0.010691 The SAS System 09:44 Sunday, March 23, 2014 46 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 41 3 26 2.5635518 0.9413937 0.0954317 0.7527802 2.126231 3.0908203 0.4364482 0.1392147 0.1328872 0.1332933 0.1396402 0.1333329 0.0060839 0.0000597 0.0039629 -0.000112 0.0031347 -0.002359 42 0 25.8 2.4669414 0.9029791 0.0981341 0.1775794 2.0352931 2.9901344 -2.466941 -0.813557 -1.542791 -1.5477 -0.816145 -1.544158 0.0063335 0.0021228 -0.029906 0.0009121 -0.023656 0.0191538 43 4 29 4.5613259 1.5176134 0.1517557 0.6773463 3.3877895 6.1413776 -0.561326 -0.10692 -0.111232 -0.112111 -0.107765 -0.112045 0.0156226 0.0000922 0.0113103 -0.000457 0.0089466 -0.009605 44 0 26.5 2.8219562 1.0374303 0.0926994 0.1662742 2.3531218 3.3842009 -2.821956 -0.827644 -1.600415 -1.605152 -0.830094 -1.601683 0.0058935 0.0020425 -0.006104 6.6237E-6 -0.004828 0.0001391 45 0 22.5 1.3088351 0.2691375 0.2108354 0.2185981 0.8658078 1.9785562 -1.308835 -0.731363 -1.272347 -1.286096 -0.739266 -1.276906 0.021267 0.0059376 -0.117388 0.0042515 -0.092855 0.0892814 46 0 23.8 1.6800653 0.5188327 0.1576021 0.2057836 1.233602 2.288112 -1.680065 -0.766804 -1.378179 -1.387518 -0.772 -1.381077 0.0134155 0.0040521 -0.088125 0.0031314 -0.069708 0.0657591 47 0 24.3 1.8494148 0.6148693 0.1390529 0.1995237 1.4082259 2.4288257 -1.849415 -0.779394 -1.419223 -1.427067 -0.783702 -1.421593 0.010963 0.003404 -0.075006 0.0026305 -0.059331 0.0552412 48 14 26 2.5635518 0.9413937 0.0954317 2.8735223 2.126231 3.0908203 11.436448 3.6479066 2.0177259 2.0238918 3.6590542 2.0378109 0.0060839 0.040977 0.1038412 -0.002944 0.0821399 -0.061816 The SAS System 09:44 Sunday, March 23, 2014 47 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 49 0 24.7 1.9971049 0.6916986 0.1254984 0.1940826 1.5616238 2.5540261 -1.997105 -0.789036 -1.452137 -1.458934 -0.792729 -1.454147 0.0092962 0.0029484 -0.063803 0.0022032 -0.050469 0.0462676 50 1 22.5 1.3088351 0.2691375 0.2108354 0.4602583 0.8658078 1.9785562 -0.308835 -0.172574 -0.184788 -0.186785 -0.174439 -0.186531 0.021267 0.0003306 -0.027699 0.0010032 -0.02191 0.021067 51 3 28.7 4.3059225 1.4599914 0.1407153 0.5601744 3.2680531 5.6733987 -1.305922 -0.26222 -0.291326 -0.293302 -0.263998 -0.292928 0.0134277 0.0004743 0.0239925 -0.00098 0.0189784 -0.020576 52 4 29.3 4.8318785 1.5752353 0.1633002 0.6514366 3.5084446 6.65453 -0.831879 -0.15028 -0.159055 -0.160515 -0.15166 -0.160359 0.0181175 0.0002122 0.0180752 -0.000725 0.0142978 -0.015232 53 5 26.7 2.9324697 1.075845 0.0933007 1.0638265 2.4423946 3.5208801 2.0675303 0.5862161 0.4958719 0.497366 0.5879824 0.4979587 0.005999 0.0010433 -0.000705 0.0001858 -0.000558 0.0039014 54 0 23.4 1.555821 0.4420034 0.1733693 0.2102977 1.1076115 2.1854045 -1.555821 -0.756308 -1.345456 -1.356098 -0.76229 -1.348828 0.0156328 0.0046141 -0.097889 0.0035046 -0.077431 0.0735964 55 6 27.7 3.5534472 1.2679182 0.1094775 1.1167207 2.8672292 4.4038988 2.4465528 0.5846279 0.4948541 0.4968965 0.5870408 0.4977024 0.0082037 0.0014253 -0.026489 0.0011619 -0.020953 0.0243995 56 6 28.2 3.9116324 1.3639548 0.1237989 1.0532385 3.0688821 4.9858117 2.0883676 0.4576108 0.3995428 0.4016411 0.460014 0.402293 0.0104211 0.0011142 -0.031179 0.001305 -0.024663 0.0274055 The SAS System 09:44 Sunday, March 23, 2014 48 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 57 5 24.7 1.9971049 0.6916986 0.1254984 1.2668738 1.5616238 2.5540261 3.0028951 1.1864137 0.8875384 0.8916928 1.191967 0.8949482 0.0092962 0.0066659 0.0959358 -0.003313 0.0758866 -0.069569 58 5 25.7 2.4200102 0.8837718 0.0997991 1.169428 1.9900686 2.942838 2.5799898 0.8650909 0.6882507 0.6904963 0.8679135 0.6917952 0.0064938 0.0024618 0.0353604 -0.001105 0.0279706 -0.0232 59 0 27.8 3.6223591 1.2871255 0.1120839 0.1446329 2.9079406 4.512295 -3.622359 -0.850775 -1.706847 -1.714222 -0.854451 -1.708682 0.0085855 0.0031612 0.0423964 -0.001837 0.0335362 -0.038568 60 3 27 3.1064076 1.1334669 0.095984 0.6819816 2.5736929 3.7493859 -0.106408 -0.028671 -0.028966 -0.029059 -0.028762 -0.029057 0.006361 2.648E-6 0.0004078 -0.000023 0.0003225 -0.000488 61 10 29 4.5613259 1.5176134 0.1517557 1.5059774 3.3877895 6.1413776 5.4386741 1.035947 0.7980386 0.8043463 1.0441351 0.8086394 0.0156226 0.0086512 -0.109585 0.0044313 -0.086684 0.0930579 62 7 25.6 2.3739719 0.8645644 0.1016601 1.5791887 1.9451017 2.8974024 4.6260281 1.5770697 1.1073057 1.1110212 1.5823615 1.1148296 0.0066773 0.0084157 0.0709202 -0.002259 0.0560989 -0.047431 63 0 24.2 1.8142315 0.595662 0.1426378 0.2008264 1.3717634 2.3994196 -1.814231 -0.776924 -1.411004 -1.419132 -0.781399 -1.413473 0.0114224 0.0035275 -0.07771 0.0027337 -0.06147 0.0574076 64 0 25.7 2.4200102 0.8837718 0.0997991 0.1791541 1.9900686 2.942838 -2.42001 -0.811449 -1.53455 -1.539557 -0.814096 -1.535952 0.0064938 0.002166 -0.033168 0.0010362 -0.026236 0.0217612 The SAS System 09:44 Sunday, March 23, 2014 49 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 65 0 23.1 1.4687055 0.3843814 0.1855989 0.2133643 1.0208281 2.1130844 -1.468706 -0.748194 -1.320998 -1.332658 -0.754798 -1.324749 0.0174228 0.0050511 -0.104773 0.003768 -0.082877 0.0791288 66 0 28.5 4.1436488 1.4215768 0.133697 0.1330422 3.1884516 5.3850043 -4.143649 -0.861674 -1.763663 -1.774457 -0.866948 -1.766245 0.0121285 0.0046138 0.0707322 -0.002913 0.0559502 -0.061165 67 5 29.7 5.2177413 1.6520646 0.1793082 0.7435008 3.6715982 7.4149792 -0.217741 -0.036641 -0.037124 -0.037537 -0.037049 -0.037527 0.0219193 0.0000154 0.0051275 -0.000204 0.004056 -0.004287 68 0 23.1 1.4687055 0.3843814 0.1855989 0.2133643 1.0208281 2.1130844 -1.468706 -0.748194 -1.320998 -1.332658 -0.754798 -1.324749 0.0174228 0.0050511 -0.104773 0.003768 -0.082877 0.0791288 69 1 24.5 1.9218416 0.6532839 0.1321063 0.4144624 1.483435 2.4898127 -0.921842 -0.376184 -0.443955 -0.446213 -0.378097 -0.445578 0.0100945 0.0007289 -0.033328 0.0011607 -0.026363 0.0243744 70 1 27.5 3.4195315 1.2295035 0.1047209 0.3150743 2.7850183 4.1986064 -2.419531 -0.59844 -0.815039 -0.818126 -0.600706 -0.816705 0.0075304 0.001369 0.0217384 -0.000986 0.0171954 -0.0207 71 1 26.3 2.7156075 0.9990157 0.0930738 0.3569814 2.2627804 3.2590543 -1.715608 -0.520404 -0.669666 -0.671648 -0.521944 -0.670863 0.0058934 0.0008075 -0.00826 0.0001717 -0.006534 0.003605 72 3 27.8 3.6223591 1.2871255 0.1120839 0.6243078 2.9079406 4.512295 -0.622359 -0.146172 -0.154475 -0.155142 -0.146804 -0.155072 0.0085855 0.0000933 0.0072841 -0.000316 0.0057619 -0.006626 The SAS System 09:44 Sunday, March 23, 2014 50 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 73 2 31.9 7.9615656 2.0746257 0.2743839 0.2661049 4.6498878 13.63184 -5.961566 -0.674861 -0.978169 -1.005123 -0.693457 -0.99109 0.0529127 0.0134332 0.1728534 -0.00673 0.1367296 -0.14133 74 5 25 2.115562 0.7493205 0.1163472 1.2388076 1.6841892 2.6574229 2.884438 1.0853158 0.8270535 0.8304819 1.0898147 0.8329485 0.0082392 0.0049335 0.0749882 -0.002546 0.0593168 -0.053475 75 0 26.2 2.6639457 0.9798084 0.0936245 0.1711722 2.2173388 3.2005063 -2.663946 -0.82175 -1.575736 -1.58043 -0.824198 -1.577014 0.0059318 0.0020268 -0.01651 0.0004024 -0.013059 0.0084499 76 3 28.4 4.0648199 1.4023694 0.1303072 0.5813662 3.1486443 5.2475793 -1.06482 -0.225333 -0.246225 -0.247656 -0.226643 -0.247424 0.0115274 0.0002995 0.0174441 -0.000722 0.0137985 -0.015158 77 6 24.5 1.9218416 0.6532839 0.1321063 1.5025369 1.483435 2.4898127 4.0781584 1.6642109 1.1522665 1.1581266 1.6726747 1.1644573 0.0100945 0.0142653 0.1474414 -0.005135 0.1166284 -0.107831 78 7 27.9 3.6926074 1.3063328 0.1148286 1.2493105 2.9484301 4.6246136 3.3073926 0.7634741 0.6209273 0.6237398 0.7669323 0.6251745 0.008998 0.0026703 -0.041515 0.0017795 -0.032839 0.0373692 79 6 25 2.115562 0.7493205 0.1163472 1.4486126 1.6841892 2.6574229 3.884438 1.4615818 1.0443769 1.0487061 1.4676404 1.0528391 0.0082392 0.0089472 0.1009858 -0.003429 0.0798813 -0.072015 80 3 29 4.5613259 1.5176134 0.1517557 0.5392411 3.3877895 6.1413776 -1.561326 -0.297398 -0.335909 -0.338564 -0.299749 -0.337992 0.0156226 0.000713 0.0314596 -0.001272 0.024885 -0.026715 The SAS System 09:44 Sunday, March 23, 2014 51 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 81 4 31.7 7.6615248 2.036211 0.2654395 0.4632247 4.5537869 12.890142 -3.661525 -0.429867 -0.520269 -0.533608 -0.440888 -0.529412 0.0493736 0.0050479 0.105286 -0.004104 0.0832828 -0.086191 82 4 27.6 3.4858463 1.2487109 0.1070197 0.8023046 2.826265 4.2993578 0.5141537 0.124999 0.1198782 0.1203516 0.1254927 0.1203929 0.007852 0.0000623 -0.005101 0.0002271 -0.004035 0.0047692 83 0 24.5 1.9218416 0.6532839 0.1321063 0.1968475 1.483435 2.4898127 -1.921842 -0.784263 -1.435673 -1.442975 -0.788252 -1.437856 0.0100945 0.003168 -0.069482 0.0024198 -0.054961 0.0508154 84 0 23.8 1.6800653 0.5188327 0.1576021 0.2057836 1.233602 2.288112 -1.680065 -0.766804 -1.378179 -1.387518 -0.772 -1.381077 0.0134155 0.0040521 -0.088125 0.0031314 -0.069708 0.0657591 85 8 28.2 3.9116324 1.3639548 0.1237989 1.358323 3.0688821 4.9858117 4.0883676 0.8958582 0.7089892 0.7127126 0.9005629 0.7149248 0.0104211 0.0042703 -0.06104 0.0025548 -0.048283 0.0536514 86 0 24.1 1.7797175 0.5764546 0.1462899 0.2021046 1.336069 2.3706816 -1.779717 -0.774429 -1.40279 -1.41121 -0.779078 -1.405362 0.0118978 0.0036542 -0.080374 0.0028354 -0.063577 0.0595429 87 0 28 3.764218 1.3255401 0.1177021 0.1413024 2.9887292 4.7409238 -3.764218 -0.853996 -1.723122 -1.731314 -0.858057 -1.725138 0.0094412 0.0035087 0.0503361 -0.002138 0.0398166 -0.0449 88 9 26 2.5635518 0.9413937 0.0954317 1.9095486 2.126231 3.0908203 6.4364482 2.0530467 1.3481751 1.3522949 2.0593206 1.3577101 0.0060839 0.0129793 0.058442 -0.001657 0.0462285 -0.03479 The SAS System 09:44 Sunday, March 23, 2014 52 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 89 0 24.7 1.9971049 0.6916986 0.1254984 0.1940826 1.5616238 2.5540261 -1.997105 -0.789036 -1.452137 -1.458934 -0.792729 -1.454147 0.0092962 0.0029484 -0.063803 0.0022032 -0.050469 0.0462676 90 0 25.8 2.4669414 0.9029791 0.0981341 0.1775794 2.0352931 2.9901344 -2.466941 -0.813557 -1.542791 -1.5477 -0.816145 -1.544158 0.0063335 0.0021228 -0.029906 0.0009121 -0.023656 0.0191538 91 8 27.1 3.16665 1.1526743 0.097329 1.5388825 2.6166974 3.8321865 4.83335 1.280285 0.9436376 0.9467372 1.2844905 0.9493356 0.0065374 0.0054285 -0.023816 0.0012494 -0.018839 0.026238 92 5 27.4 3.3544782 1.2102962 0.1025917 0.9877105 2.743461 4.1015797 1.6455218 0.4140527 0.3655077 0.3668378 0.4155594 0.3672137 0.0072384 0.0006296 -0.013193 0.000612 -0.010436 0.0128528 93 2 26.7 2.9324697 1.075845 0.0933007 0.5233163 2.4423946 3.5208801 -0.93247 -0.264387 -0.294219 -0.295106 -0.265184 -0.294935 0.005999 0.0002122 0.0003181 -0.000084 0.0002516 -0.00176 94 5 26.8 2.989339 1.0950523 0.0939626 1.0530122 2.486532 3.5938197 2.010661 0.5605045 0.4770286 0.4784883 0.5622197 0.4790427 0.0060921 0.0009687 -0.003095 0.0002693 -0.002448 0.005656 95 0 25.8 2.4669414 0.9029791 0.0981341 0.1775794 2.0352931 2.9901344 -2.466941 -0.813557 -1.542791 -1.5477 -0.816145 -1.544158 0.0063335 0.0021228 -0.029906 0.0009121 -0.023656 0.0191538 96 0 23.7 1.6481037 0.4996253 0.1614776 0.2069556 1.2009767 2.2616973 -1.648104 -0.764215 -1.369988 -1.379645 -0.769602 -1.373 0.0139501 0.0041897 -0.090628 0.003227 -0.071688 0.0677672 The SAS System 09:44 Sunday, March 23, 2014 53 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 97 6 27.9 3.6926074 1.3063328 0.1148286 1.0912614 2.9484301 4.6246136 2.3073926 0.5326354 0.4564821 0.4585498 0.535048 0.4592949 0.008998 0.0012996 -0.028963 0.0012415 -0.02291 0.0260705 98 5 30 5.5272288 1.7096866 0.1916793 0.7136286 3.7962054 8.0475777 -0.527229 -0.084101 -0.086724 -0.087835 -0.085178 -0.087769 0.0251326 0.0000935 0.0130319 -0.000516 0.0103084 -0.010844 99 4 25 2.115562 0.7493205 0.1163472 1.0290027 1.6841892 2.6574229 1.884438 0.7090499 0.5828063 0.5852222 0.711989 0.5863786 0.0082392 0.0021057 0.0489907 -0.001664 0.0387524 -0.034936 100 5 27.7 3.5534472 1.2679182 0.1094775 0.9549842 2.8672292 4.4038988 1.4465528 0.345668 0.3107455 0.312028 0.3470947 0.3123317 0.0082037 0.0004983 -0.015662 0.000687 -0.012389 0.0144265 101 15 28.3 3.9874906 1.3831621 0.1270055 2.3970634 3.1087973 5.1145443 11.012509 2.3714353 1.4979616 1.5062373 2.3845365 1.5186172 0.0109583 0.0314998 -0.172556 0.0071786 -0.136494 0.1507511 102 0 25.5 2.3288093 0.8453571 0.1037065 0.1822652 1.9004601 2.8537052 -2.328809 -0.80716 -1.518066 -1.523317 -0.809952 -1.519552 0.0068834 0.0022735 -0.039586 0.0012806 -0.031313 0.0268921 103 5 26 2.5635518 0.9413937 0.0954317 1.1383697 2.126231 3.0908203 2.4364482 0.7771587 0.6297929 0.6317175 0.7795336 0.6327212 0.0060839 0.0018598 0.0221226 -0.000627 0.0174993 -0.013169 104 0 26.2 2.6639457 0.9798084 0.0936245 0.1711722 2.2173388 3.2005063 -2.663946 -0.82175 -1.575736 -1.58043 -0.824198 -1.577014 0.0059318 0.0020268 -0.01651 0.0004024 -0.013059 0.0084499 The SAS System 09:44 Sunday, March 23, 2014 54 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 105 1 23 1.4407648 0.3651741 0.1897394 0.4512549 0.9933142 2.089775 -0.440765 -0.228049 -0.250215 -0.252503 -0.230135 -0.252117 0.0180408 0.0004865 -0.032729 0.0011786 -0.025889 0.0247511 106 0 22.9 1.4133557 0.3459668 0.1939083 0.2152463 0.9664879 2.0668384 -1.413356 -0.742672 -1.304738 -1.31709 -0.749702 -1.308753 0.0186686 0.0053462 -0.109151 0.0039357 -0.08634 0.0826493 107 5 25.1 2.1565891 0.7685278 0.1135326 1.2292085 1.7263479 2.6940552 2.8434109 1.0525282 0.8070229 0.8102404 1.0567245 0.8124881 0.0079262 0.0044608 0.0685475 -0.002311 0.0542221 -0.048537 108 4 25.9 2.5147827 0.9221864 0.0966751 0.9542347 2.0807047 3.0394184 1.4852173 0.4817132 0.4177896 0.4190901 0.4832127 0.4195176 0.0061967 0.000728 0.0157149 -0.000465 0.0124307 -0.009756 109 0 25.5 2.3288093 0.8453571 0.1037065 0.1822652 1.9004601 2.8537052 -2.328809 -0.80716 -1.518066 -1.523317 -0.809952 -1.519552 0.0068834 0.0022735 -0.039586 0.0012806 -0.031313 0.0268921 110 0 26.8 2.989339 1.0950523 0.0939626 0.1613194 2.486532 3.5938197 -2.989339 -0.833327 -1.625059 -1.630031 -0.835877 -1.626368 0.0060921 0.0021413 0.004602 -0.0004 0.0036403 -0.008409 111 1 29 4.5613259 1.5176134 0.1517557 0.2630307 3.3877895 6.1413776 -3.561326 -0.678354 -0.990273 -0.9981 -0.683715 -0.993954 0.0156226 0.0037095 0.0717582 -0.002902 0.0567618 -0.060936 112 1 28.5 4.1436488 1.4215768 0.133697 0.2801204 3.1884516 5.3850043 -3.143649 -0.653724 -0.932693 -0.938401 -0.657724 -0.935501 0.0121285 0.0026556 0.0536622 -0.00221 0.0424476 -0.046404 The SAS System 09:44 Sunday, March 23, 2014 55 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 113 4 24.7 1.9971049 0.6916986 0.1254984 1.0523156 1.5616238 2.5540261 2.0028951 0.7913237 0.638867 0.6418574 0.7950277 0.6434493 0.0092962 0.0029655 0.063988 -0.00221 0.0506155 -0.046402 114 1 29 4.5613259 1.5176134 0.1517557 0.2630307 3.3877895 6.1413776 -3.561326 -0.678354 -0.990273 -0.9981 -0.683715 -0.993954 0.0156226 0.0037095 0.0717582 -0.002902 0.0567618 -0.060936 115 6 27 3.1064076 1.1334669 0.095984 1.2059691 2.5736929 3.7493859 2.8935924 0.7796573 0.6317403 0.6337592 0.7821489 0.6348127 0.006361 0.0019581 -0.011088 0.0006315 -0.008771 0.0132621 116 0 23.7 1.6481037 0.4996253 0.1614776 0.2069556 1.2009767 2.2616973 -1.648104 -0.764215 -1.369988 -1.379645 -0.769602 -1.373 0.0139501 0.0041897 -0.090628 0.003227 -0.071688 0.0677672 117 6 27 3.1064076 1.1334669 0.095984 1.2059691 2.5736929 3.7493859 2.8935924 0.7796573 0.6317403 0.6337592 0.7821489 0.6348127 0.006361 0.0019581 -0.011088 0.0006315 -0.008771 0.0132621 118 2 24.2 1.8142315 0.595662 0.1426378 0.6448537 1.3717634 2.3994196 0.1857685 0.0795532 0.0773977 0.0778435 0.0800115 0.0778687 0.0114224 0.000037 0.0079571 -0.00028 0.0062942 -0.005878 119 4 22.5 1.3088351 0.2691375 0.2108354 1.185239 0.8658078 1.9785562 2.6911649 1.5037936 1.0643097 1.0758107 1.5200438 1.0871491 0.021267 0.0251029 0.2413671 -0.008742 0.190925 -0.183576 120 0 25.1 2.1565891 0.7685278 0.1135326 0.1883123 1.7263479 2.6940552 -2.156589 -0.798292 -1.485093 -1.491014 -0.801474 -1.486806 0.0079262 0.0025661 -0.05199 0.001753 -0.041125 0.0368131 The SAS System 09:44 Sunday, March 23, 2014 56 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 121 0 24.9 2.0753155 0.7301132 0.1192856 0.1912353 1.6426615 2.6219245 -2.075316 -0.793712 -1.468611 -1.474947 -0.797136 -1.470465 0.0085722 0.0027471 -0.057972 0.0019809 -0.045856 0.0415995 122 6 27.5 3.4195315 1.2295035 0.1047209 1.1422286 2.7850183 4.1986064 2.5804685 0.638246 0.5335551 0.5355755 0.6406627 0.5364438 0.0075304 0.0015571 -0.023184 0.0010513 -0.018339 0.0220767 123 0 24.3 1.8494148 0.6148693 0.1390529 0.1995237 1.4082259 2.4288257 -1.849415 -0.779394 -1.419223 -1.427067 -0.783702 -1.421593 0.010963 0.003404 -0.075006 0.0026305 -0.059331 0.0552412 124 4 29.5 5.0211047 1.61365 0.1712264 0.6344041 3.5896416 7.023401 -1.021105 -0.178042 -0.190603 -0.192533 -0.179845 -0.192288 0.0199499 0.0003292 0.0231561 -0.000925 0.0183168 -0.019431 125 0 26.2 2.6639457 0.9798084 0.0936245 0.1711722 2.2173388 3.2005063 -2.663946 -0.82175 -1.575736 -1.58043 -0.824198 -1.577014 0.0059318 0.0020268 -0.01651 0.0004024 -0.013059 0.0084499 126 4 24.7 1.9971049 0.6916986 0.1254984 1.0523156 1.5616238 2.5540261 2.0028951 0.7913237 0.638867 0.6418574 0.7950277 0.6434493 0.0092962 0.0029655 0.063988 -0.00221 0.0506155 -0.046402 127 4 29.8 5.3189288 1.6712719 0.183401 0.6092525 3.7128977 7.619656 -1.318929 -0.218028 -0.237427 -0.2402 -0.220575 -0.239767 0.0229556 0.0005716 0.0315967 -0.001256 0.0249935 -0.026372 128 0 25.7 2.4200102 0.8837718 0.0997991 0.1791541 1.9900686 2.942838 -2.42001 -0.811449 -1.53455 -1.539557 -0.814096 -1.535952 0.0064938 0.002166 -0.033168 0.0010362 -0.026236 0.0217612 The SAS System 09:44 Sunday, March 23, 2014 57 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 129 2 26.2 2.6639457 0.9798084 0.0936245 0.5496338 2.2173388 3.2005063 -0.663946 -0.204808 -0.221924 -0.222585 -0.205418 -0.222487 0.0059318 0.0001259 -0.004115 0.0001003 -0.003255 0.002106 130 0 27 3.1064076 1.1334669 0.095984 0.1579941 2.5736929 3.7493859 -3.106408 -0.836999 -1.641464 -1.64671 -0.839674 -1.64283 0.006361 0.0022568 0.0119037 -0.000678 0.009416 -0.014237 131 0 24.8 2.0358346 0.7109059 0.1223388 0.1926688 1.6017973 2.5874827 -2.035835 -0.791386 -1.460373 -1.466934 -0.794941 -1.462303 0.0089247 0.0028453 -0.060906 0.0020928 -0.048178 0.0439485 132 0 23.7 1.6481037 0.4996253 0.1614776 0.2069556 1.2009767 2.2616973 -1.648104 -0.764215 -1.369988 -1.379645 -0.769602 -1.373 0.0139501 0.0041897 -0.090628 0.003227 -0.071688 0.0677672 133 11 28.2 3.9116324 1.3639548 0.1237989 1.8159499 3.0688821 4.9858117 7.0883676 1.5532293 1.0958676 1.1016228 1.5613863 1.1073987 0.0104211 0.0128367 -0.10583 0.0044295 -0.083713 0.0930203 134 1 25.2 2.1984117 0.7877352 0.1108511 0.3933589 1.7691001 2.7319054 -1.198412 -0.436398 -0.532727 -0.534772 -0.438073 -0.5341 0.0076337 0.0007381 -0.02668 0.0008923 -0.021105 0.0187393 135 4 23.2 1.4971881 0.4035887 0.181489 1.1514911 1.0490414 2.1367814 2.5028119 1.2552962 0.9264163 0.9343048 1.2659851 0.9408491 0.0168151 0.0137054 0.1713813 -0.006155 0.1355652 -0.129251 136 3 25.8 2.4669414 0.9029791 0.0981341 0.7665215 2.0352931 2.9901344 0.5330586 0.175794 0.1658994 0.1664273 0.1763533 0.166492 0.0063335 0.0000991 0.006462 -0.000197 0.0051116 -0.004139 The SAS System 09:44 Sunday, March 23, 2014 58 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 137 0 27.5 3.4195315 1.2295035 0.1047209 0.1496435 2.7850183 4.1986064 -3.419531 -0.845777 -1.682378 -1.688749 -0.84898 -1.683991 0.0075304 0.0027344 0.0307229 -0.001393 0.0243023 -0.029255 138 0 25.7 2.4200102 0.8837718 0.0997991 0.1791541 1.9900686 2.942838 -2.42001 -0.811449 -1.53455 -1.539557 -0.814096 -1.535952 0.0064938 0.002166 -0.033168 0.0010362 -0.026236 0.0217612 139 0 26.8 2.989339 1.0950523 0.0939626 0.1613194 2.486532 3.5938197 -2.989339 -0.833327 -1.625059 -1.630031 -0.835877 -1.626368 0.0060921 0.0021413 0.004602 -0.0004 0.0036403 -0.008409 140 3 27.5 3.4195315 1.2295035 0.1047209 0.6459361 2.7850183 4.1986064 -0.419531 -0.103766 -0.107831 -0.108239 -0.104159 -0.108209 0.0075304 0.0000412 0.0037693 -0.000171 0.0029816 -0.003589 141 9 28.5 4.1436488 1.4215768 0.133697 1.4567458 3.1884516 5.3850043 4.8563512 1.0098811 0.7817135 0.7864975 1.0160616 0.7896817 0.0121285 0.0063375 -0.082898 0.0034136 -0.065574 0.0716852 142 3 28.5 4.1436488 1.4215768 0.133697 0.5742767 3.1884516 5.3850043 -1.143649 -0.237822 -0.261316 -0.262915 -0.239278 -0.262641 0.0121285 0.0003515 0.0195221 -0.000804 0.0154423 -0.016882 143 6 27.4 3.3544782 1.2102962 0.1025917 1.1549896 2.743461 4.1015797 2.6455218 0.6656767 0.5530288 0.5550412 0.668099 0.5559422 0.0072384 0.0016272 -0.021211 0.000984 -0.016778 0.0206636 144 3 27.2 3.2280608 1.1718816 0.0988852 0.6675798 2.6593192 3.9184377 -0.228061 -0.059386 -0.06068 -0.060886 -0.059588 -0.060877 0.0067422 0.0000121 0.001366 -0.000068 0.0010805 -0.001425 The SAS System 09:44 Sunday, March 23, 2014 59 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 145 0 27.1 3.16665 1.1526743 0.097329 0.156327 2.6166974 3.8321865 -3.16665 -0.8388 -1.649659 -1.655078 -0.841555 -1.651062 0.0065374 0.0023302 0.0156032 -0.000819 0.0123424 -0.01719 146 1 28 3.764218 1.3255401 0.1177021 0.2975121 2.9887292 4.7409238 -2.764218 -0.627124 -0.874276 -0.878432 -0.630106 -0.876417 0.0094412 0.0018921 0.0369638 -0.00157 0.0292389 -0.032972 147 0 26.5 2.8219562 1.0374303 0.0926994 0.1662742 2.3531218 3.3842009 -2.821956 -0.827644 -1.600415 -1.605152 -0.830094 -1.601683 0.0058935 0.0020425 -0.006104 6.6237E-6 -0.004828 0.0001391 148 0 23 1.4407648 0.3651741 0.1897394 0.214322 0.9933142 2.089775 -1.440765 -0.745444 -1.312863 -1.324868 -0.75226 -1.316745 0.0180408 0.0051984 -0.106984 0.0038527 -0.084626 0.080906 149 3 26 2.5635518 0.9413937 0.0954317 0.7527802 2.126231 3.0908203 0.4364482 0.1392147 0.1328872 0.1332933 0.1396402 0.1333329 0.0060839 0.0000597 0.0039629 -0.000112 0.0031347 -0.002359 150 0 24.5 1.9218416 0.6532839 0.1321063 0.1968475 1.483435 2.4898127 -1.921842 -0.784263 -1.435673 -1.442975 -0.788252 -1.437856 0.0100945 0.003168 -0.069482 0.0024198 -0.054961 0.0508154 151 0 25.8 2.4669414 0.9029791 0.0981341 0.1775794 2.0352931 2.9901344 -2.466941 -0.813557 -1.542791 -1.5477 -0.816145 -1.544158 0.0063335 0.0021228 -0.029906 0.0009121 -0.023656 0.0191538 152 0 23.5 1.585993 0.4612107 0.1693643 0.2092134 1.1379892 2.210367 -1.585993 -0.758967 -1.353626 -1.363935 -0.764747 -1.356875 0.0150593 0.004471 -0.09551 0.0034136 -0.07555 0.0716861 The SAS System 09:44 Sunday, March 23, 2014 60 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 153 0 26.7 2.9324697 1.075845 0.0933007 0.1629761 2.4423946 3.5208801 -2.93247 -0.831456 -1.616848 -1.62172 -0.833961 -1.618138 0.005999 0.0020987 0.0010003 -0.000264 0.0007912 -0.005534 154 0 25.5 2.3288093 0.8453571 0.1037065 0.1822652 1.9004601 2.8537052 -2.328809 -0.80716 -1.518066 -1.523317 -0.809952 -1.519552 0.0068834 0.0022735 -0.039586 0.0012806 -0.031313 0.0268921 155 1 28.2 3.9116324 1.3639548 0.1237989 0.2905272 3.0688821 4.9858117 -2.911632 -0.638008 -0.897742 -0.902457 -0.641358 -0.900126 0.0104211 0.0021659 0.0434709 -0.001819 0.0343861 -0.038209 156 1 25.2 2.1984117 0.7877352 0.1108511 0.3933589 1.7691001 2.7319054 -1.198412 -0.436398 -0.532727 -0.534772 -0.438073 -0.5341 0.0076337 0.0007381 -0.02668 0.0008923 -0.021105 0.0187393 157 2 25.3 2.2410455 0.8069425 0.1083127 0.5950628 1.8124028 2.7710643 -0.241045 -0.086346 -0.089151 -0.089481 -0.086665 -0.08946 0.0073621 0.0000279 -0.004933 0.0001634 -0.003902 0.0034322 158 0 25.7 2.4200102 0.8837718 0.0997991 0.1791541 1.9900686 2.942838 -2.42001 -0.811449 -1.53455 -1.539557 -0.814096 -1.535952 0.0064938 0.002166 -0.033168 0.0010362 -0.026236 0.0217612 159 12 29.3 4.8318785 1.5752353 0.1633002 1.714016 3.5084446 6.65453 7.1681215 1.2949307 0.9526682 0.9614173 1.306823 0.9687712 0.0181175 0.0157559 -0.15575 0.00625 -0.123201 0.1312491 160 6 23.8 1.6800653 0.5188327 0.1576021 1.5707463 1.233602 2.288112 4.3199347 1.9716747 1.306243 1.3150941 1.9850348 1.326323 0.0134155 0.0267904 0.2265947 -0.008052 0.1792398 -0.169086 The SAS System 09:44 Sunday, March 23, 2014 61 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 161 3 27.4 3.3544782 1.2102962 0.1025917 0.6531524 2.743461 4.1015797 -0.354478 -0.089195 -0.09217 -0.092506 -0.08952 -0.092484 0.0072384 0.0000292 0.0028421 -0.000132 0.0022481 -0.002769 162 2 26.2 2.6639457 0.9798084 0.0936245 0.5496338 2.2173388 3.2005063 -0.663946 -0.204808 -0.221924 -0.222585 -0.205418 -0.222487 0.0059318 0.0001259 -0.004115 0.0001003 -0.003255 0.002106 163 4 28 3.764218 1.3255401 0.1177021 0.7661413 2.9887292 4.7409238 0.235782 0.0534924 0.0525159 0.0527655 0.0537467 0.0527749 0.0094412 0.0000138 -0.003153 0.0001339 -0.002494 0.0028125 164 5 28.4 4.0648199 1.4023694 0.1303072 0.8791539 3.1486443 5.2475793 0.9351801 0.1978991 0.1855801 0.1866591 0.1990497 0.1868066 0.0115274 0.000231 -0.01532 0.0006339 -0.012119 0.0133123 165 7 33.5 10.825915 2.3819428 0.347051 0.5625385 5.483455 21.373466 -3.825915 -0.322898 -0.369052 -0.386136 -0.337845 -0.382199 0.0865267 0.0054058 0.1135337 -0.004388 0.0898068 -0.092155 166 0 25.8 2.4669414 0.9029791 0.0981341 0.1775794 2.0352931 2.9901344 -2.466941 -0.813557 -1.542791 -1.5477 -0.816145 -1.544158 0.0063335 0.0021228 -0.029906 0.0009121 -0.023656 0.0191538 167 10 24 1.7458601 0.5572473 0.1500042 2.4514729 1.3011447 2.3425737 8.2541399 3.6494695 2.0145948 2.0271912 3.672288 2.055642 0.0123888 0.0845839 0.3923994 -0.013879 0.3103938 -0.291456 168 0 23.1 1.4687055 0.3843814 0.1855989 0.2133643 1.0208281 2.1130844 -1.468706 -0.748194 -1.320998 -1.332658 -0.754798 -1.324749 0.0174228 0.0050511 -0.104773 0.003768 -0.082877 0.0791288 The SAS System 09:44 Sunday, March 23, 2014 62 The GENMOD Procedure Observation Statistics Standard Error of the Predicted Linear Linear Observation Sa W Value Predictor Predictor HessWgt Raw Pearson Deviance Lower Upper Residual Residual Residual Std Std Deviance Pearson Likelihood Residual Residual Residual Leverage CookD DFBETA_ DFBETAS_ Intercept DFBETA_W Intercept DFBETAS_W 169 0 28.3 3.9874906 1.3831621 0.1270055 0.1363324 3.1087973 5.1145443 -3.987491 -0.858667 -1.747473 -1.757127 -0.863411 -1.749809 0.0109583 0.0041299 0.0624802 -0.002599 0.0494228 -0.054585 170 4 26.5 2.8219562 1.0374303 0.0926994 0.9015388 2.3531218 3.3842009 1.1780438 0.3455055 0.3105321 0.3114513 0.3465281 0.3116696 0.0058935 0.000356 0.0025482 -2.765E-6 0.0020156 -0.000058 171 7 26.5 2.8219562 1.0374303 0.0926994 1.4529872 2.3531218 3.3842009 4.1780438 1.225368 0.9114838 0.9141816 1.2289949 0.9163539 0.0058935 0.0044773 0.0090373 -9.807E-6 0.0071486 -0.000206 172 3 26.1 2.6132667 0.9606011 0.0944124 0.7458425 2.1717995 3.1444721 0.3867333 0.1213117 0.1164599 0.1168106 0.121677 0.1168404 0.0059955 0.0000447 0.0029465 -0.000079 0.0023307 -0.001653 173 0 24.5 1.9218416 0.6532839 0.1321063 0.1968475 1.483435 2.4898127 -1.921842 -0.784263 -1.435673 -1.442975 -0.788252 -1.437856 0.0100945 0.003168 -0.069482 0.0024198 -0.054961 0.0508154 The SAS System 09:44 Sunday, March 23, 2014 63 The GENMOD Procedure Model Information Data Set WORK.CRAB Distribution Poisson Link Function Log Dependent Variable Sa Number of Observations Read 173 Number of Observations Used 173 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 171 567.8786 3.3209 Scaled Deviance 171 178.4544 1.0436 Pearson Chi-Square 171 544.1570 3.1822 Scaled Pearson X2 171 171.0000 1.0000 Log Likelihood 21.5091 Full Log Likelihood -461.5881 AIC (smaller is better) 927.1762 AICC (smaller is better) 927.2468 BIC (smaller is better) 933.4828 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 -3.3048 0.9673 -5.2006 -1.4089 11.67 0.0006 W 1 0.1640 0.0356 0.0942 0.2339 21.22 <.0001 Scale 0 1.7839 0.0000 1.7839 1.7839 NOTE: The scale parameter was estimated by the square root of Pearson's Chi-Square/DOF. The SAS System 09:44 Sunday, March 23, 2014 64 Obs Obs C S W Wt Sa pred 1 1 2 3 28.3 3.05 8 3.81034 2 2 3 3 26.0 2.60 4 2.61278 3 3 3 3 25.6 2.15 0 2.44684 4 4 4 2 21.0 1.85 0 1.15049 5 5 2 3 29.0 3.00 1 4.27400 6 6 1 2 25.0 2.30 3 2.21748 7 7 4 3 26.2 1.30 0 2.69993 8 8 2 3 24.9 2.10 0 2.18140 9 9 2 1 25.7 2.00 8 2.48731 10 10 2 3 27.5 3.15 6 3.34171 11 11 1 1 26.1 2.80 5 2.65600 12 12 3 3 28.9 2.80 4 4.20446 13 13 2 1 30.3 3.60 3 5.28995 14 14 2 3 22.9 1.60 4 1.57126 15 15 3 3 26.2 2.30 3 2.69993 16 16 3 3 24.5 2.05 5 2.04285 17 17 2 3 30.0 3.05 8 5.03592 18 18 2 3 26.2 2.40 3 2.69993 19 19 2 3 25.4 2.25 6 2.36786 20 20 2 3 25.4 2.25 4 2.36786 21 21 4 3 27.5 2.90 0 3.34171 22 22 4 3 27.0 2.25 3 3.07855 23 23 2 2 24.0 1.70 0 1.88198 24 24 2 1 28.7 3.20 0 4.06875 25 25 3 3 26.5 1.97 1 2.83612 26 26 2 3 24.5 1.60 1 2.04285 27 27 3 3 27.3 2.90 1 3.23385 28 28 2 3 26.5 2.30 4 2.83612 29 29 2 3 25.0 2.10 2 2.21748 30 30 3 3 22.0 1.40 0 1.35559 31 31 1 1 30.2 3.28 2 5.20388 32 32 2 2 25.4 2.30 0 2.36786 33 33 2 1 24.9 2.30 6 2.18140 34 34 4 3 25.8 2.25 10 2.52845 35 35 3 3 27.2 2.40 5 3.18123 36 36 2 3 30.5 3.32 3 5.46639 37 37 4 3 25.0 2.10 8 2.21748 38 38 2 3 30.0 3.00 9 5.03592 39 39 2 1 22.9 1.60 0 1.57126 40 40 2 3 23.9 1.85 2 1.85136 41 41 2 3 26.0 2.28 3 2.61278 42 42 2 3 25.8 2.20 0 2.52845 43 43 3 3 29.0 3.28 4 4.27400 44 44 1 1 26.5 2.35 0 2.83612 45 45 3 3 22.5 1.55 0 1.47146 46 46 2 3 23.8 2.10 0 1.82124 47 47 3 3 24.3 2.15 0 1.97692 48 48 2 1 26.0 2.30 14 2.61278 49 49 4 3 24.7 2.20 0 2.11099 50 50 2 1 22.5 1.60 1 1.47146 51 51 2 3 28.7 3.15 3 4.06875 The SAS System 09:44 Sunday, March 23, 2014 65 Obs Obs C S W Wt Sa pred 52 52 1 1 29.3 3.20 4 4.48960 53 53 2 1 26.7 2.70 5 2.93072 54 54 4 3 23.4 1.90 0 1.70557 55 55 1 1 27.7 2.50 6 3.45317 56 56 2 3 28.2 2.60 6 3.74834 57 57 4 3 24.7 2.10 5 2.11099 58 58 2 1 25.7 2.00 5 2.48731 59 59 2 1 27.8 2.75 0 3.51028 60 60 3 1 27.0 2.45 3 3.07855 61 61 2 3 29.0 3.20 10 4.27400 62 62 3 3 25.6 2.80 7 2.44684 63 63 3 3 24.2 1.90 0 1.94475 64 64 3 3 25.7 1.20 0 2.48731 65 65 3 3 23.1 1.65 0 1.62366 66 66 2 3 28.5 3.05 0 3.93743 67 67 2 1 29.7 3.85 5 4.79408 68 68 3 3 23.1 1.55 0 1.62366 69 69 3 3 24.5 2.20 1 2.04285 70 70 2 3 27.5 2.55 1 3.34171 71 71 2 3 26.3 2.40 1 2.74458 72 72 2 3 27.8 3.25 3 3.51028 73 73 2 3 31.9 3.33 2 6.87768 74 74 2 3 25.0 2.40 5 2.21748 75 75 3 3 26.2 2.22 0 2.69993 76 76 3 3 28.4 3.20 3 3.87336 77 77 1 2 24.5 1.95 6 2.04285 78 78 2 3 27.9 3.05 7 3.56834 79 79 2 2 25.0 2.25 6 2.21748 80 80 3 3 29.0 2.92 3 4.27400 81 81 2 1 31.7 3.73 4 6.65569 82 82 2 3 27.6 2.85 4 3.39698 83 83 4 3 24.5 1.90 0 2.04285 84 84 3 3 23.8 1.80 0 1.82124 85 85 2 3 28.2 3.05 8 3.74834 86 86 3 3 24.1 1.80 0 1.91311 87 87 1 1 28.0 2.62 0 3.62736 88 88 1 1 26.0 2.30 9 2.61278 89 89 3 2 24.7 1.90 0 2.11099 90 90 2 3 25.8 2.65 0 2.52845 91 91 1 1 27.1 2.95 8 3.12947 92 92 2 3 27.4 2.70 5 3.28734 93 93 3 3 26.7 2.60 2 2.93072 94 94 2 1 26.8 2.70 5 2.97919 95 95 1 3 25.8 2.60 0 2.52845 96 96 4 3 23.7 1.85 0 1.79160 97 97 2 3 27.9 2.80 6 3.56834 98 98 2 1 30.0 3.30 5 5.03592 99 99 2 3 25.0 2.10 4 2.21748 100 100 2 3 27.7 2.90 5 3.45317 101 101 2 3 28.3 3.00 15 3.81034 102 102 4 3 25.5 2.25 0 2.40703 The SAS System 09:44 Sunday, March 23, 2014 66 Obs Obs C S W Wt Sa pred 103 103 2 3 26.0 2.15 5 2.61278 104 104 2 3 26.2 2.40 0 2.69993 105 105 3 3 23.0 1.65 1 1.59724 106 106 2 2 22.9 1.60 0 1.57126 107 107 2 3 25.1 2.10 5 2.25415 108 108 3 1 25.9 2.55 4 2.57027 109 109 4 1 25.5 2.75 0 2.40703 110 110 2 1 26.8 2.55 0 2.97919 111 111 2 1 29.0 2.80 1 4.27400 112 112 3 3 28.5 3.00 1 3.93743 113 113 2 2 24.7 2.55 4 2.11099 114 114 2 3 29.0 3.10 1 4.27400 115 115 2 3 27.0 2.50 6 3.07855 116 116 4 3 23.7 1.80 0 1.79160 117 117 3 3 27.0 2.50 6 3.07855 118 118 2 3 24.2 1.65 2 1.94475 119 119 4 3 22.5 1.47 4 1.47146 120 120 2 3 25.1 1.80 0 2.25415 121 121 2 3 24.9 2.20 0 2.18140 122 122 2 3 27.5 2.63 6 3.34171 123 123 2 1 24.3 2.00 0 1.97692 124 124 2 3 29.5 3.02 4 4.63934 125 125 2 3 26.2 2.30 0 2.69993 126 126 2 3 24.7 1.95 4 2.11099 127 127 3 2 29.8 3.50 4 4.87337 128 128 4 3 25.7 2.15 0 2.48731 129 129 3 3 26.2 2.17 2 2.69993 130 130 4 3 27.0 2.63 0 3.07855 131 131 3 3 24.8 2.10 0 2.14590 132 132 2 1 23.7 1.95 0 1.79160 133 133 2 3 28.2 3.05 11 3.74834 134 134 2 3 25.2 2.00 1 2.29144 135 135 2 2 23.2 1.95 4 1.65052 136 136 4 3 25.8 2.00 3 2.52845 137 137 4 3 27.5 2.60 0 3.34171 138 138 2 2 25.7 2.00 0 2.48731 139 139 2 3 26.8 2.65 0 2.97919 140 140 3 3 27.5 3.10 3 3.34171 141 141 3 1 28.5 3.25 9 3.93743 142 142 2 3 28.5 3.00 3 3.93743 143 143 1 1 27.4 2.70 6 3.28734 144 144 2 3 27.2 2.70 3 3.18123 145 145 3 3 27.1 2.55 0 3.12947 146 146 2 3 28.0 2.80 1 3.62736 147 147 2 1 26.5 1.30 0 2.83612 148 148 3 3 23.0 1.80 0 1.59724 149 149 3 2 26.0 2.20 3 2.61278 150 150 3 2 24.5 2.25 0 2.04285 151 151 2 3 25.8 2.30 0 2.52845 152 152 4 3 23.5 1.90 0 1.73378 153 153 4 3 26.7 2.45 0 2.93072 The SAS System 09:44 Sunday, March 23, 2014 67 Obs Obs C S W Wt Sa pred 154 154 3 3 25.5 2.25 0 2.40703 155 155 2 3 28.2 2.87 1 3.74834 156 156 2 1 25.2 2.00 1 2.29144 157 157 2 3 25.3 1.90 2 2.32934 158 158 3 3 25.7 2.10 0 2.48731 159 159 4 3 29.3 3.23 12 4.48960 160 160 3 3 23.8 1.80 6 1.82124 161 161 2 3 27.4 2.90 3 3.28734 162 162 2 3 26.2 2.02 2 2.69993 163 163 2 1 28.0 2.90 4 3.62736 164 164 2 1 28.4 3.10 5 3.87336 165 165 2 1 33.5 5.20 7 8.94195 166 166 2 3 25.8 2.40 0 2.52845 167 167 3 3 24.0 1.90 10 1.88198 168 168 2 1 23.1 2.00 0 1.62366 169 169 2 3 28.3 3.20 0 3.81034 170 170 2 3 26.5 2.35 4 2.83612 171 171 2 3 26.5 2.75 7 2.83612 172 172 3 3 26.1 2.75 3 2.65600 173 173 2 2 24.5 2.00 0 2.04285 The SAS System 09:44 Sunday, March 23, 2014 68 The GENMOD Procedure Model Information Data Set WORK.CRAB Distribution Poisson Link Function Log Dependent Variable Sa Number of Observations Read 173 Number of Observations Used 173 Class Level Information Class Levels Values C 4 1 2 3 4 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 168 559.3448 3.3294 Scaled Deviance 168 168.0000 1.0000 Pearson Chi-Square 168 543.2490 3.2336 Scaled Pearson X2 168 163.1656 0.9712 Log Likelihood 21.8395 Full Log Likelihood -457.3212 AIC (smaller is better) 924.6425 AICC (smaller is better) 925.0017 BIC (smaller is better) 940.4089 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 -3.0974 1.0173 -5.0914 -1.1034 9.27 0.0023 W 1 0.1493 0.0380 0.0748 0.2239 15.42 <.0001 C 1 1 0.4474 0.3816 -0.3005 1.1952 1.37 0.2410 C 2 1 0.2477 0.2977 -0.3358 0.8312 0.69 0.4054 C 3 1 0.0110 0.3292 -0.6342 0.6562 0.00 0.9734 C 4 0 0.0000 0.0000 0.0000 0.0000 . . Scale 0 1.8247 0.0000 1.8247 1.8247 NOTE: The scale parameter was estimated by the square root of DEVIANCE/DOF. The SAS System 09:44 Sunday, March 23, 2014 69 The GENMOD Procedure LR Statistics For Type 3 Analysis Chi- Source Num DF Den DF F Value Pr > F Square Pr > ChiSq W 1 168 14.96 0.0002 14.96 0.0001 C 3 168 0.85 0.4661 2.56 0.4640 The SAS System 09:44 Sunday, March 23, 2014 70 The GENMOD Procedure Model Information Data Set WORK.CRAB Distribution Poisson Link Function Log Dependent Variable Sa Number of Observations Read 173 Number of Observations Used 173 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 170 560.2013 3.2953 Scaled Deviance 170 170.0000 1.0000 Pearson Chi-Square 170 548.8898 3.2288 Scaled Pearson X2 170 166.5674 0.9798 Log Likelihood 21.9358 Full Log Likelihood -457.7495 AIC (smaller is better) 921.4990 AICC (smaller is better) 921.6410 BIC (smaller is better) 930.9589 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Standard Wald 95% Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 -2.5200 1.1085 -4.6925 -0.3474 5.17 0.0230 W 1 0.1496 0.0375 0.0760 0.2231 15.88 <.0001 C 1 -0.1694 0.1123 -0.3894 0.0506 2.28 0.1313 Scale 0 1.8153 0.0000 1.8153 1.8153 NOTE: The scale parameter was estimated by the square root of DEVIANCE/DOF.