Donner Party Data - Logistic Regression 1 09:43 Thursday, February 20, 2014 The FREQ Procedure Table of sex by survive sex survive Frequency‚ Expected ‚ Percent ‚ Row Pct ‚ Col Pct ‚ 0‚ 1‚ Total ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 0 ‚ 5 ‚ 10 ‚ 15 ‚ 8.3333 ‚ 6.6667 ‚ ‚ 11.11 ‚ 22.22 ‚ 33.33 ‚ 33.33 ‚ 66.67 ‚ ‚ 20.00 ‚ 50.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 1 ‚ 20 ‚ 10 ‚ 30 ‚ 16.667 ‚ 13.333 ‚ ‚ 44.44 ‚ 22.22 ‚ 66.67 ‚ 66.67 ‚ 33.33 ‚ ‚ 80.00 ‚ 50.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ Total 25 20 45 55.56 44.44 100.00 Donner Party Data - Logistic Regression 2 09:43 Thursday, February 20, 2014 The FREQ Procedure Statistics for Table of sex by survive Statistic DF Value Prob ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ Chi-Square 1 4.5000 0.0339 Likelihood Ratio Chi-Square 1 4.5403 0.0331 Continuity Adj. Chi-Square 1 3.2513 0.0714 Mantel-Haenszel Chi-Square 1 4.4000 0.0359 Phi Coefficient -0.3162 Contingency Coefficient 0.3015 Cramer's V -0.3162 Fisher's Exact Test ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ Cell (1,1) Frequency (F) 5 Left-sided Pr <= F 0.0355 Right-sided Pr >= F 0.9929 Table Probability (P) 0.0285 Two-sided Pr <= P 0.0559 Sample Size = 45 Survive vs Age 3 09:43 Thursday, February 20, 2014 The REG Procedure Model: MODEL1 Dependent Variable: survive Number of Observations Read 45 Number of Observations Used 45 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.22895 1.22895 5.35 0.0256 Error 43 9.88216 0.22982 Corrected Total 44 11.11111 Root MSE 0.47939 R-Square 0.1106 Dependent Mean 0.44444 Adj R-Sq 0.0899 Coeff Var 107.86346 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.86923 0.19711 4.41 <.0001 age 1 -0.01336 0.00578 -2.31 0.0256 Residual vs. observation 4 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Model Information Data Set WORK.DONNER Response Variable survive Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 45 Number of Observations Used 45 Response Profile Ordered Total Value survive Frequency 1 1 20 2 0 25 Probability modeled is survive=1. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 63.827 60.291 SC 65.633 63.904 -2 Log L 61.827 56.291 Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 5.5358 1 0.0186 Score 4.9772 1 0.0257 Wald 4.2553 1 0.0391 Residual vs. observation 5 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 1.8183 0.9993 3.3106 0.0688 age 1 -0.0665 0.0322 4.2553 0.0391 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits age 0.936 0.878 0.997 Association of Predicted Probabilities and Observed Responses Percent Concordant 65.4 Somers' D 0.362 Percent Discordant 29.2 Gamma 0.383 Percent Tied 5.4 Tau-a 0.183 Pairs 500 c 0.681 Partition for the Hosmer and Lemeshow Test survive = 1 survive = 0 Group Total Observed Expected Observed Expected 1 5 0 0.57 5 4.43 2 7 3 1.82 4 5.18 3 4 3 1.65 1 2.35 4 4 1 1.82 3 2.18 5 4 2 1.96 2 2.04 6 8 2 4.31 6 3.69 7 6 3 3.40 3 2.60 8 7 6 4.47 1 2.53 Hosmer and Lemeshow Goodness-of-Fit Test Chi-Square DF Pr > ChiSq 8.5165 6 0.2027 Residual vs. observation 6 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Pearson Residual Covariates Case (1 unit = 0.23) Number age Value -8 -4 0 2 4 6 8 1 23.0000 -1.1559 | * | | 2 40.0000 1.5221 | | * | 3 40.0000 1.5221 | | * | 4 30.0000 -0.9160 | * | | 5 28.0000 -0.9789 | * | | 6 40.0000 -0.6570 | * | | 7 45.0000 -0.5564 | * | | 8 62.0000 -0.3163 | *| | 9 65.0000 -0.2863 | *| | 10 45.0000 -0.5564 | * | | 11 25.0000 -1.0815 | * | | 12 28.0000 1.0215 | | * | 13 28.0000 -0.9789 | * | | 14 23.0000 -1.1559 | * | | 15 22.0000 0.8369 | | * | 16 23.0000 0.8652 | | * | 17 28.0000 1.0215 | | * | 18 15.0000 0.6632 | | * | 19 47.0000 -0.5206 | * | | 20 57.0000 -0.3734 | * | | 21 20.0000 0.7831 | | * | 22 18.0000 0.7327 | | * | 23 25.0000 -1.0815 | * | | 24 60.0000 -0.3380 | *| | 25 25.0000 0.9246 | | * | 26 20.0000 0.7831 | | * | 27 32.0000 1.1668 | | * | 28 32.0000 1.1668 | | * | 29 24.0000 0.8944 | | * | 30 30.0000 1.0917 | | * | 31 15.0000 -1.5078 | * | | 32 50.0000 -0.4712 | * | | 33 21.0000 0.8095 | | * | 34 25.0000 -1.0815 | * | | 35 46.0000 1.8579 | | *| 36 32.0000 1.1668 | | * | 37 30.0000 -0.9160 | * | | 38 25.0000 -1.0815 | * | | 39 25.0000 -1.0815 | * | | 40 25.0000 -1.0815 | * | | 41 30.0000 -0.9160 | * | | 42 35.0000 -0.7758 | * | | Residual vs. observation 7 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Deviance Residual Hat Matrix Diagonal Case (1 unit = 0.22) (1 unit = 6.E-03) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 1 -1.3026 | * | | 0.0352 | * | 2 1.5485 | | * | 0.0459 | * | 3 1.5485 | | * | 0.0459 | * | 4 -1.1038 | * | | 0.0253 | * | 5 -1.1594 | * | | 0.0259 | * | 6 -0.8471 | * | | 0.0459 | * | 7 -0.7345 | * | | 0.0639 | * | 8 -0.4367 | * | | 0.0996 | *| 9 -0.3969 | * | | 0.0992 | *| 10 -0.7345 | * | | 0.0639 | * | 11 -1.2447 | * | | 0.0302 | * | 12 1.1956 | | * | 0.0259 | * | 13 -1.1594 | * | | 0.0259 | * | 14 -1.3026 | * | | 0.0352 | * | 15 1.0304 | | * | 0.0383 | * | 16 1.0571 | | * | 0.0352 | * | 17 1.1956 | | * | 0.0259 | * | 18 0.8538 | | * | 0.0672 | * | 19 -0.6926 | * | | 0.0710 | * | 20 -0.5110 | * | | 0.0958 | * | 21 0.9780 | | * | 0.0455 | * | 22 0.9271 | | * | 0.0537 | * | 23 -1.2447 | * | | 0.0302 | * | 24 -0.4652 | * | | 0.0988 | *| 25 1.1116 | | * | 0.0302 | * | 26 0.9780 | | * | 0.0455 | * | 27 1.3109 | | * | 0.0265 | * | 28 1.3109 | | * | 0.0265 | * | 29 1.0842 | | * | 0.0325 | * | 30 1.2528 | | * | 0.0253 | * | 31 -1.5401 | * | | 0.0672 | * | 32 -0.6333 | * | | 0.0806 | * | 33 1.0040 | | * | 0.0418 | * | 34 -1.2447 | * | | 0.0302 | * | 35 1.7282 | | *| 0.0675 | * | 36 1.3109 | | * | 0.0265 | * | 37 -1.1038 | * | | 0.0253 | * | 38 -1.2447 | * | | 0.0302 | * | 39 -1.2447 | * | | 0.0302 | * | 40 -1.2447 | * | | 0.0302 | * | 41 -1.1038 | * | | 0.0253 | * | 42 -0.9707 | * | | 0.0314 | * | Residual vs. observation 8 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Intercept age Case DfBeta (1 unit = 0.05) DfBeta (1 unit = 0.06) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 1 -0.1760 | * | | 0.1222 | | * | 2 -0.1627 | * | | 0.2500 | | * | 3 -0.1627 | * | | 0.2500 | | * | 4 -0.0389 | *| | -0.00904 | * | 5 -0.0725 | *| | 0.0227 | * | 6 0.0702 | |* | -0.1079 | * | | 7 0.0947 | | * | -0.1269 | * | | 8 0.0903 | | * | -0.1061 | * | | 9 0.0829 | | * | -0.0964 | * | | 10 0.0947 | | * | -0.1269 | * | | 11 -0.1311 | * | | 0.0788 | |* | 12 0.0756 | | * | -0.0237 | * | 13 -0.0725 | *| | 0.0227 | * | 14 -0.1760 | * | | 0.1222 | | * | 15 0.1403 | | * | -0.1021 | * | | 16 0.1318 | | * | -0.0915 | * | | 17 0.0756 | | * | -0.0237 | * | 18 0.1772 | | * | -0.1519 | * | | 19 0.1001 | | * | -0.1302 | * | | 20 0.1003 | | * | -0.1204 | * | | 21 0.1547 | | * | -0.1206 | * | | 22 0.1660 | | * | -0.1356 | * | | 23 -0.1311 | * | | 0.0788 | |* | 24 0.0948 | | * | -0.1122 | * | | 25 0.1121 | | * | -0.0674 | *| | 26 0.1547 | | * | -0.1206 | * | | 27 0.0131 | * | 0.0496 | |* | 28 0.0131 | * | 0.0496 | |* | 29 0.1224 | | * | -0.0799 | *| | 30 0.0464 | |* | 0.0108 | * | 31 -0.4030 |* | | 0.3454 | | * | 32 0.1043 | | * | -0.1312 | * | | 33 0.1479 | | * | -0.1118 | * | | 34 -0.1311 | * | | 0.0788 | |* | 35 -0.3371 | * | | 0.4447 | | *| 36 0.0131 | * | 0.0496 | |* | 37 -0.0389 | *| | -0.00904 | * | 38 -0.1311 | * | | 0.0788 | |* | 39 -0.1311 | * | | 0.0788 | |* | 40 -0.1311 | * | | 0.0788 | |* | 41 -0.0389 | *| | -0.00904 | * | 42 0.0270 | |* | -0.0700 | *| | Residual vs. observation 9 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Confidence Interval Confidence Interval Displacement C Displacement CBar Case (1 unit = 0.02) (1 unit = 0.02) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 1 0.0506 | * | 0.0488 | * | 2 0.1169 | * | 0.1115 | * | 3 0.1169 | * | 0.1115 | * | 4 0.0223 | * | 0.0217 | * | 5 0.0261 | * | 0.0254 | * | 6 0.0218 | * | 0.0208 | * | 7 0.0226 | * | 0.0211 | * | 8 0.0123 | * | 0.0111 | * | 9 0.0100 | * | 0.00902 | * | 10 0.0226 | * | 0.0211 | * | 11 0.0376 | * | 0.0364 | * | 12 0.0284 | * | 0.0277 | * | 13 0.0261 | * | 0.0254 | * | 14 0.0506 | * | 0.0488 | * | 15 0.0290 | * | 0.0279 | * | 16 0.0283 | * | 0.0273 | * | 17 0.0284 | * | 0.0277 | * | 18 0.0340 | * | 0.0317 | * | 19 0.0223 | * | 0.0207 | * | 20 0.0163 | * | 0.0148 | * | 21 0.0306 | * | 0.0292 | * | 22 0.0322 | * | 0.0305 | * | 23 0.0376 | * | 0.0364 | * | 24 0.0139 | * | 0.0125 | * | 25 0.0274 | * | 0.0266 | * | 26 0.0306 | * | 0.0292 | * | 27 0.0380 | * | 0.0370 | * | 28 0.0380 | * | 0.0370 | * | 29 0.0278 | * | 0.0269 | * | 30 0.0317 | * | 0.0309 | * | 31 0.1755 | * | 0.1638 | * | 32 0.0212 | * | 0.0195 | * | 33 0.0298 | * | 0.0286 | * | 34 0.0376 | * | 0.0364 | * | 35 0.2679 | *| 0.2498 | *| 36 0.0380 | * | 0.0370 | * | 37 0.0223 | * | 0.0217 | * | 38 0.0376 | * | 0.0364 | * | 39 0.0376 | * | 0.0364 | * | 40 0.0376 | * | 0.0364 | * | 41 0.0223 | * | 0.0217 | * | 42 0.0202 | * | 0.0195 | * | Residual vs. observation 10 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Delta Deviance Delta Chi-Square Case (1 unit = 0.2) (1 unit = 0.23) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 1 1.7457 | * | 1.3848 | * | 2 2.5095 | * | 2.4282 | * | 3 2.5095 | * | 2.4282 | * | 4 1.2402 | * | 0.8607 | * | 5 1.3696 | * | 0.9837 | * | 6 0.7384 | * | 0.4524 | * | 7 0.5606 | * | 0.3307 | * | 8 0.2017 | * | 0.1111 |* | 9 0.1666 | * | 0.0910 |* | 10 0.5606 | * | 0.3307 | * | 11 1.5856 | * | 1.2061 | * | 12 1.4571 | * | 1.0712 | * | 13 1.3696 | * | 0.9837 | * | 14 1.7457 | * | 1.3848 | * | 15 1.0896 | * | 0.7283 | * | 16 1.1449 | * | 0.7758 | * | 17 1.4571 | * | 1.0712 | * | 18 0.7607 | * | 0.4715 | * | 19 0.5004 | * | 0.2918 | * | 20 0.2759 | * | 0.1542 | * | 21 0.9857 | * | 0.6424 | * | 22 0.8900 | * | 0.5674 | * | 23 1.5856 | * | 1.2061 | * | 24 0.2289 | * | 0.1268 | * | 25 1.2623 | * | 0.8815 | * | 26 0.9857 | * | 0.6424 | * | 27 1.7555 | * | 1.3984 | * | 28 1.7555 | * | 1.3984 | * | 29 1.2024 | * | 0.8268 | * | 30 1.6004 | * | 1.2228 | * | 31 2.5355 | * | 2.4373 | * | 32 0.4206 | * | 0.2415 | * | 33 1.0366 | * | 0.6839 | * | 34 1.5856 | * | 1.2061 | * | 35 3.2364 | *| 3.7016 | *| 36 1.7555 | * | 1.3984 | * | 37 1.2402 | * | 0.8607 | * | 38 1.5856 | * | 1.2061 | * | 39 1.5856 | * | 1.2061 | * | 40 1.5856 | * | 1.2061 | * | 41 1.2402 | * | 0.8607 | * | 42 0.9618 | * | 0.6213 | * | Residual vs. observation 11 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Pearson Residual Covariates Case (1 unit = 0.23) Number age Value -8 -4 0 2 4 6 8 43 23.0000 0.8652 | | * | 44 24.0000 -1.1181 | * | | 45 25.0000 0.9246 | | * | Regression Diagnostics Deviance Residual Hat Matrix Diagonal Case (1 unit = 0.22) (1 unit = 6.E-03) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 43 1.0571 | | * | 0.0352 | * | 44 -1.2736 | * | | 0.0325 | * | 45 1.1116 | | * | 0.0302 | * | Regression Diagnostics Intercept age Case DfBeta (1 unit = 0.05) DfBeta (1 unit = 0.06) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 43 0.1318 | | * | -0.0915 | * | | 44 -0.1530 | * | | 0.0999 | | * | 45 0.1121 | | * | -0.0674 | *| | Regression Diagnostics Confidence Interval Confidence Interval Displacement C Displacement CBar Case (1 unit = 0.02) (1 unit = 0.02) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 43 0.0283 | * | 0.0273 | * | 44 0.0434 | * | 0.0420 | * | 45 0.0274 | * | 0.0266 | * | Residual vs. observation 12 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Delta Deviance Delta Chi-Square Case (1 unit = 0.2) (1 unit = 0.23) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 43 1.1449 | * | 0.7758 | * | 44 1.6640 | * | 1.2921 | * | 45 1.2623 | * | 0.8815 | * | Residual vs. observation 13 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† RESCHI ‚ ‚ P 2 ˆ ˆ e ‚ * ‚ a ‚ ** ‚ r ‚ ** * ‚ s ‚ * * * ** * ‚ o ‚ ** * ** * * * ‚ n ‚ ‚ ‚ ‚ R 0 ˆ ˆ e ‚ ** * * ‚ s ‚ * * * * ‚ i ‚ * * ‚ d ‚ ** * * * * ***** * ‚ u ‚ * * ‚ a ‚ * ‚ l ‚ ‚ -2 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† D RESDEV ‚ ‚ e 2 ˆ ˆ v ‚ * ‚ i ‚ ** ‚ a ‚ * * ** * * ‚ n ‚ ** ** ** * * * * ‚ c ‚ * ‚ e ‚ ‚ ‚ ‚ R 0 ˆ ˆ e ‚ ‚ s ‚ ** * * ‚ i ‚ ** * * * ‚ d ‚ * * ** ‚ u ‚ * * * ** * * *** * ‚ a ‚ * ‚ l ‚ ‚ -2 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 14 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† H ‚ ‚ 0.100 ˆ ** * ˆ ‚ * ‚ H ‚ ‚ a ‚ ‚ t ‚ * ‚ 0.075 ˆ ˆ D ‚ * ‚ i ‚ * * * * * ‚ a ‚ ‚ g ‚ * ‚ o 0.050 ˆ ˆ n ‚ ** * * * ‚ a ‚ * * ‚ l ‚ * * * * ** ‚ ‚ * * * * *** * * ‚ 0.025 ˆ ** ** * ** * ** * ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA0 ‚ ‚ I 0.2 ˆ ˆ n ‚ * * ** * * ‚ t ‚ * ** * * * * * ‚ e ‚ ***** * * * ‚ r ‚ * * ‚ c 0.0 ˆ ** * ˆ e ‚ * * * ‚ p ‚ * * ‚ t ‚ * * * *** ‚ ‚ *** * * ‚ D -0.2 ˆ ˆ f ‚ ‚ B ‚ ‚ e ‚ * ‚ t ‚ ‚ a -0.4 ˆ * ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 15 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA1 ‚ ‚ 0.6 ˆ ˆ ‚ ‚ ‚ ‚ a ‚ * ‚ g 0.4 ˆ ˆ e ‚ * ‚ ‚ ‚ D ‚ ** ‚ f 0.2 ˆ ˆ B ‚ ‚ e ‚ * * * * * *** * ‚ t ‚ ** * ‚ a 0.0 ˆ ** ** * * * * ˆ ‚ * * * ‚ ‚ * ** ** ** * * * * * ‚ ‚ * * ** * * ‚ -0.2 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† C C ‚ ‚ o 0.3 ˆ ˆ n ‚ ‚ f ‚ * ‚ i ‚ ‚ d ‚ ‚ e 0.2 ˆ ˆ n ‚ * ‚ c ‚ ‚ e ‚ ‚ ‚ ** ‚ I 0.1 ˆ ˆ n ‚ ‚ t ‚ * * ‚ e ‚ * * *** *** * * * *** * ‚ r ‚ ******* ** *** ** ** * ** * *** * ‚ v 0.0 ˆ ˆ a ‚ ‚ l ŠƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 D Case Number INDEX Residual vs. observation 16 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† C CBAR ‚ ‚ o 0.3 ˆ ˆ n ‚ ‚ f ‚ ‚ i ‚ * ‚ d ‚ ‚ e 0.2 ˆ ˆ n ‚ ‚ c ‚ * ‚ e ‚ ‚ ‚ ** ‚ I 0.1 ˆ ˆ n ‚ ‚ t ‚ ‚ e ‚ * * * * ** ** * * * *** * ‚ r ‚ ***** * ** *** *** *** * ** * *** * ‚ v 0.0 ˆ * ˆ a ‚ ‚ l ŠƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 D Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† DIFDEV ‚ ‚ 4 ˆ ˆ D ‚ ‚ e ‚ ‚ l ‚ * ‚ t 3 ˆ ˆ a ‚ ‚ ‚ ** * ‚ D ‚ ‚ e 2 ˆ ˆ v ‚ * * ** * * ‚ i ‚ ** * * * * *** ‚ a ‚ ** * * * * * * * * ‚ n 1 ˆ * ** * * * ˆ c ‚ * * ‚ e ‚ * * * * ‚ ‚ ** * * ‚ 0 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 17 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DIFCHISQ ‚ ‚ D 4 ˆ ˆ e ‚ * ‚ l ‚ ‚ t ‚ ‚ a ‚ ‚ ‚ ‚ C ‚ ** * ‚ h ‚ ‚ i 2 ˆ ˆ S ‚ ‚ q ‚ * * ** * ‚ u ‚ * * * * *** * ‚ a ‚ * ** * * * ‚ r ‚ * ** * * * * * * * ‚ e ‚ * * * * ‚ ‚ * * ** * * ‚ 0 ˆ ** ˆ ŠƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 18 09:43 Thursday, February 20, 2014 The FREQ Procedure Table of age by survive age survive Frequency‚ Expected ‚ Percent ‚ Row Pct ‚ Col Pct ‚ 0‚ 1‚ Total ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 15 ‚ 1 ‚ 1 ‚ 2 ‚ 1.1111 ‚ 0.8889 ‚ ‚ 2.22 ‚ 2.22 ‚ 4.44 ‚ 50.00 ‚ 50.00 ‚ ‚ 4.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 18 ‚ 0 ‚ 1 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 0.00 ‚ 2.22 ‚ 2.22 ‚ 0.00 ‚ 100.00 ‚ ‚ 0.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 20 ‚ 0 ‚ 2 ‚ 2 ‚ 1.1111 ‚ 0.8889 ‚ ‚ 0.00 ‚ 4.44 ‚ 4.44 ‚ 0.00 ‚ 100.00 ‚ ‚ 0.00 ‚ 10.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 21 ‚ 0 ‚ 1 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 0.00 ‚ 2.22 ‚ 2.22 ‚ 0.00 ‚ 100.00 ‚ ‚ 0.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 22 ‚ 0 ‚ 1 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 0.00 ‚ 2.22 ‚ 2.22 ‚ 0.00 ‚ 100.00 ‚ ‚ 0.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 23 ‚ 2 ‚ 2 ‚ 4 ‚ 2.2222 ‚ 1.7778 ‚ ‚ 4.44 ‚ 4.44 ‚ 8.89 ‚ 50.00 ‚ 50.00 ‚ ‚ 8.00 ‚ 10.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ Total 25 20 45 55.56 44.44 100.00 (Continued) Residual vs. observation 19 09:43 Thursday, February 20, 2014 The FREQ Procedure Table of age by survive age survive Frequency‚ Expected ‚ Percent ‚ Row Pct ‚ Col Pct ‚ 0‚ 1‚ Total ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 24 ‚ 1 ‚ 1 ‚ 2 ‚ 1.1111 ‚ 0.8889 ‚ ‚ 2.22 ‚ 2.22 ‚ 4.44 ‚ 50.00 ‚ 50.00 ‚ ‚ 4.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 25 ‚ 6 ‚ 2 ‚ 8 ‚ 4.4444 ‚ 3.5556 ‚ ‚ 13.33 ‚ 4.44 ‚ 17.78 ‚ 75.00 ‚ 25.00 ‚ ‚ 24.00 ‚ 10.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 28 ‚ 2 ‚ 2 ‚ 4 ‚ 2.2222 ‚ 1.7778 ‚ ‚ 4.44 ‚ 4.44 ‚ 8.89 ‚ 50.00 ‚ 50.00 ‚ ‚ 8.00 ‚ 10.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 30 ‚ 3 ‚ 1 ‚ 4 ‚ 2.2222 ‚ 1.7778 ‚ ‚ 6.67 ‚ 2.22 ‚ 8.89 ‚ 75.00 ‚ 25.00 ‚ ‚ 12.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 32 ‚ 0 ‚ 3 ‚ 3 ‚ 1.6667 ‚ 1.3333 ‚ ‚ 0.00 ‚ 6.67 ‚ 6.67 ‚ 0.00 ‚ 100.00 ‚ ‚ 0.00 ‚ 15.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 35 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ Total 25 20 45 55.56 44.44 100.00 (Continued) Residual vs. observation 20 09:43 Thursday, February 20, 2014 The FREQ Procedure Table of age by survive age survive Frequency‚ Expected ‚ Percent ‚ Row Pct ‚ Col Pct ‚ 0‚ 1‚ Total ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 40 ‚ 1 ‚ 2 ‚ 3 ‚ 1.6667 ‚ 1.3333 ‚ ‚ 2.22 ‚ 4.44 ‚ 6.67 ‚ 33.33 ‚ 66.67 ‚ ‚ 4.00 ‚ 10.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 45 ‚ 2 ‚ 0 ‚ 2 ‚ 1.1111 ‚ 0.8889 ‚ ‚ 4.44 ‚ 0.00 ‚ 4.44 ‚ 100.00 ‚ 0.00 ‚ ‚ 8.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 46 ‚ 0 ‚ 1 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 0.00 ‚ 2.22 ‚ 2.22 ‚ 0.00 ‚ 100.00 ‚ ‚ 0.00 ‚ 5.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 47 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 50 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 57 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ Total 25 20 45 55.56 44.44 100.00 (Continued) Residual vs. observation 21 09:43 Thursday, February 20, 2014 The FREQ Procedure Table of age by survive age survive Frequency‚ Expected ‚ Percent ‚ Row Pct ‚ Col Pct ‚ 0‚ 1‚ Total ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 60 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 62 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ 65 ‚ 1 ‚ 0 ‚ 1 ‚ 0.5556 ‚ 0.4444 ‚ ‚ 2.22 ‚ 0.00 ‚ 2.22 ‚ 100.00 ‚ 0.00 ‚ ‚ 4.00 ‚ 0.00 ‚ ƒƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆƒƒƒƒƒƒƒƒˆ Total 25 20 45 55.56 44.44 100.00 Statistics for Table of age by survive Statistic DF Value Prob ƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒƒ Chi-Square 20 21.0375 0.3949 Likelihood Ratio Chi-Square 20 27.8759 0.1124 Mantel-Haenszel Chi-Square 1 4.8666 0.0274 Phi Coefficient 0.6837 Contingency Coefficient 0.5644 Cramer's V 0.6837 WARNING: 100% of the cells have expected counts less than 5. Chi-Square may not be a valid test. Sample Size = 45 Residual vs. observation 22 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Model Information Data Set WORK.DONNER Response Variable survive Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 45 Number of Observations Used 45 Response Profile Ordered Total Value survive Frequency 1 1 20 2 0 25 Probability modeled is survive=1. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 63.827 57.256 SC 65.633 62.676 -2 Log L 61.827 51.256 Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 10.5703 2 0.0051 Score 9.0965 2 0.0106 Wald 6.8627 2 0.0323 Residual vs. observation 23 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 3.2304 1.3870 5.4248 0.0199 age 1 -0.0782 0.0373 4.3988 0.0360 sex 1 -1.5973 0.7555 4.4699 0.0345 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits age 0.925 0.860 0.995 sex 0.202 0.046 0.890 Association of Predicted Probabilities and Observed Responses Percent Concordant 73.0 Somers' D 0.492 Percent Discordant 23.8 Gamma 0.508 Percent Tied 3.2 Tau-a 0.248 Pairs 500 c 0.746 Partition for the Hosmer and Lemeshow Test survive = 1 survive = 0 Group Total Observed Expected Observed Expected 1 5 1 0.29 4 4.71 2 4 2 0.91 2 3.09 3 5 1 1.65 4 3.35 4 5 2 1.85 3 3.15 5 6 1 2.52 5 3.48 6 6 1 2.67 5 3.33 7 6 5 3.56 1 2.44 8 5 4 3.98 1 1.02 9 3 3 2.56 0 0.44 Hosmer and Lemeshow Goodness-of-Fit Test Chi-Square DF Pr > ChiSq 9.3203 7 0.2305 Residual vs. observation 24 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Pearson Residual Covariates Case (1 unit = 0.33) Number age sex Value -8 -4 0 2 4 6 8 1 23.0000 1.0000 -0.9205 | * | | 2 40.0000 0 0.9502 | | * | 3 40.0000 1.0000 2.1118 | | * | 4 30.0000 1.0000 -0.7001 | * | | 5 28.0000 1.0000 -0.7571 | * | | 6 40.0000 1.0000 -0.4735 | *| | 7 45.0000 0 -0.8656 | * | | 8 62.0000 1.0000 -0.2003 | *| | 9 65.0000 1.0000 -0.1782 | *| | 10 45.0000 0 -0.8656 | * | | 11 25.0000 0 -1.8920 | * | | 12 28.0000 1.0000 1.3209 | | * | 13 28.0000 1.0000 -0.7571 | * | | 14 23.0000 1.0000 -0.9205 | * | | 15 22.0000 0 0.4700 | |* | 16 23.0000 0 0.4888 | |* | 17 28.0000 1.0000 1.3209 | | * | 18 15.0000 0 0.3575 | |* | 19 47.0000 0 -0.8004 | * | | 20 57.0000 1.0000 -0.2436 | *| | 21 20.0000 0 0.4347 | |* | 22 18.0000 1.0000 0.8934 | | * | 23 25.0000 1.0000 -0.8513 | * | | 24 60.0000 1.0000 -0.2166 | *| | 25 25.0000 1.0000 1.1747 | | * | 26 20.0000 1.0000 0.9661 | | * | 27 32.0000 1.0000 1.5445 | | * | 28 32.0000 0 0.6949 | | * | 29 24.0000 0 0.5083 | | * | 30 30.0000 1.0000 1.4283 | | * | 31 15.0000 1.0000 -1.2586 | * | | 32 50.0000 0 -0.7118 | * | | 33 21.0000 0 0.4520 | |* | 34 25.0000 1.0000 -0.8513 | * | | 35 46.0000 1.0000 2.6701 | | *| 36 32.0000 0 0.6949 | | * | 37 30.0000 1.0000 -0.7001 | * | | 38 25.0000 1.0000 -0.8513 | * | | 39 25.0000 1.0000 -0.8513 | * | | 40 25.0000 1.0000 -0.8513 | * | | 41 30.0000 1.0000 -0.7001 | * | | 42 35.0000 1.0000 -0.5758 | * | | Residual vs. observation 25 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Deviance Residual Hat Matrix Diagonal Case (1 unit = 0.26) (1 unit = 0.01) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 1 -1.1080 | * | | 0.0492 | * | 2 1.1343 | | * | 0.1025 | * | 3 1.8425 | | * | 0.0567 | * | 4 -0.8932 | * | | 0.0387 | * | 5 -0.9519 | * | | 0.0389 | * | 6 -0.6361 | * | | 0.0567 | * | 7 -1.0575 | * | | 0.1310 | * | 8 -0.2805 | *| | 0.0670 | * | 9 -0.2500 | *| | 0.0628 | * | 10 -1.0575 | * | | 0.1310 | * | 11 -1.7445 | * | | 0.0780 | * | 12 1.4210 | | * | 0.0389 | * | 13 -0.9519 | * | | 0.0389 | * | 14 -1.1080 | * | | 0.0492 | * | 15 0.6318 | | * | 0.0802 | * | 16 0.6546 | | * | 0.0794 | * | 17 1.4210 | | * | 0.0389 | * | 18 0.4904 | | * | 0.0839 | * | 19 -0.9951 | * | | 0.1438 | * | 20 -0.3395 | *| | 0.0721 | * | 21 0.5883 | | * | 0.0817 | * | 22 1.0833 | | * | 0.0735 | * | 23 -1.0441 | * | | 0.0433 | * | 24 -0.3029 | *| | 0.0694 | * | 25 1.3168 | | * | 0.0433 | * | 26 1.1482 | | * | 0.0623 | * | 27 1.5617 | | * | 0.0403 | * | 28 0.8877 | | * | 0.0786 | * | 29 0.6779 | | * | 0.0787 | * | 30 1.4912 | | * | 0.0387 | * | 31 -1.3780 | * | | 0.0928 | * | 32 -0.9055 | * | | 0.1626 | *| 33 0.6098 | | * | 0.0810 | * | 34 -1.0441 | * | | 0.0433 | * | 35 2.0472 | | *| 0.0685 | * | 36 0.8877 | | * | 0.0786 | * | 37 -0.8932 | * | | 0.0387 | * | 38 -1.0441 | * | | 0.0433 | * | 39 -1.0441 | * | | 0.0433 | * | 40 -1.0441 | * | | 0.0433 | * | 41 -0.8932 | * | | 0.0387 | * | 42 -0.7567 | * | | 0.0453 | * | Residual vs. observation 26 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Intercept age Case DfBeta (1 unit = 0.07) DfBeta (1 unit = 0.08) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 1 -0.0760 | *| | 0.0841 | |* | 2 0.0210 | * | 0.1262 | | * | 3 -0.3594 | * | | 0.3980 | | * | 4 0.0268 | * | -0.0297 | * | 5 0.00415 | * | -0.00459 | * | 6 0.0806 | |* | -0.0892 | *| | 7 0.0634 | |* | -0.2096 | * | | 8 0.0478 | |* | -0.0529 | *| | 9 0.0413 | |* | -0.0457 | *| | 10 0.0634 | |* | -0.2096 | * | | 11 -0.4620 | * | | 0.2718 | | * | 12 -0.00724 | * | 0.00801 | * | 13 0.00415 | * | -0.00459 | * | 14 -0.0760 | *| | 0.0841 | |* | 15 0.1271 | | * | -0.0851 | *| | 16 0.1283 | | * | -0.0828 | *| | 17 -0.00724 | * | 0.00801 | * | 18 0.1091 | | * | -0.0858 | *| | 19 0.0894 | |* | -0.2279 | * | | 20 0.0596 | |* | -0.0660 | *| | 21 0.1235 | | * | -0.0877 | *| | 22 0.1561 | | * | -0.1728 | * | | 23 -0.0396 | *| | 0.0438 | |* | 24 0.0524 | |* | -0.0581 | *| | 25 0.0546 | |* | -0.0605 | *| | 26 0.1331 | | * | -0.1473 | * | | 27 -0.1070 | *| | 0.1184 | |* | 28 0.1093 | | * | -0.0211 | * | 29 0.1289 | | * | -0.0797 | *| | 30 -0.0547 | *| | 0.0605 | |* | 31 -0.2885 | * | | 0.3194 | | * | 32 0.1193 | | * | -0.2456 | * | | 33 0.1255 | | * | -0.0867 | *| | 34 -0.0396 | *| | 0.0438 | |* | 35 -0.5810 |* | | 0.6433 | | *| 36 0.1093 | | * | -0.0211 | * | 37 0.0268 | * | -0.0297 | * | 38 -0.0396 | *| | 0.0438 | |* | 39 -0.0396 | *| | 0.0438 | |* | 40 -0.0396 | *| | 0.0438 | |* | 41 0.0268 | * | -0.0297 | * | 42 0.0643 | |* | -0.0712 | *| | Residual vs. observation 27 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Confidence Interval Displacement C sex Case DfBeta (1 unit = 0.06) (1 unit = 0.04) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 1 -0.0825 | *| | 0.0461 | * | 2 -0.2110 | * | | 0.1149 | * | 3 0.3086 | | * | 0.2842 | * | 4 -0.0847 | *| | 0.0205 | * | 5 -0.0855 | *| | 0.0241 | * | 6 -0.0692 | *| | 0.0143 |* | 7 0.1699 | | * | 0.1300 | * | 8 -0.0247 | * | 0.00309 |* | 9 -0.0206 | * | 0.00227 |* | 10 0.1699 | | * | 0.1300 | * | 11 0.4770 | | *| 0.3285 | * | 12 0.1492 | | * | 0.0734 | * | 13 -0.0855 | *| | 0.0241 | * | 14 -0.0825 | *| | 0.0461 | * | 15 -0.1171 | * | | 0.0209 | * | 16 -0.1224 | * | | 0.0224 | * | 17 0.1492 | | * | 0.0734 | * | 18 -0.0831 | *| | 0.0128 |* | 19 0.1472 | | * | 0.1256 | * | 20 -0.0327 | *| | 0.00497 |* | 21 -0.1068 | * | | 0.0183 | * | 22 0.0559 | |* | 0.0684 | * | 23 -0.0847 | *| | 0.0343 | * | 24 -0.0277 | * | 0.00376 |* | 25 0.1169 | | * | 0.0653 | * | 26 0.0713 | |* | 0.0662 | * | 27 0.1976 | | * | 0.1045 | * | 28 -0.1719 | * | | 0.0447 | * | 29 -0.1278 | * | | 0.0239 | * | 30 0.1727 | | * | 0.0854 | * | 31 -0.0567 | *| | 0.1786 | * | 32 0.1165 | | * | 0.1175 | * | 33 -0.1119 | * | | 0.0196 | * | 34 -0.0847 | *| | 0.0343 | * | 35 0.3971 | | * | 0.5625 | *| 36 -0.1719 | * | | 0.0447 | * | 37 -0.0847 | *| | 0.0205 | * | 38 -0.0847 | *| | 0.0343 | * | 39 -0.0847 | *| | 0.0343 | * | 40 -0.0847 | *| | 0.0343 | * | 41 -0.0847 | *| | 0.0205 | * | 42 -0.0787 | *| | 0.0165 |* | Residual vs. observation 28 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Confidence Interval Displacement CBar Delta Deviance Case (1 unit = 0.03) (1 unit = 0.29) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 1 0.0438 | * | 1.2714 | * | 2 0.1032 | * | 1.3898 | * | 3 0.2680 | * | 3.6628 | * | 4 0.0197 | * | 0.8175 | * | 5 0.0232 | * | 0.9294 | * | 6 0.0135 |* | 0.4181 | * | 7 0.1129 | * | 1.2312 | * | 8 0.00288 |* | 0.0816 |* | 9 0.00213 |* | 0.0646 |* | 10 0.1129 | * | 1.2312 | * | 11 0.3029 | * | 3.3462 | * | 12 0.0706 | * | 2.0899 | * | 13 0.0232 | * | 0.9294 | * | 14 0.0438 | * | 1.2714 | * | 15 0.0193 | * | 0.4185 | * | 16 0.0206 | * | 0.4491 | * | 17 0.0706 | * | 2.0899 | * | 18 0.0117 |* | 0.2522 | * | 19 0.1076 | * | 1.0978 | * | 20 0.00461 |* | 0.1199 |* | 21 0.0168 | * | 0.3629 | * | 22 0.0634 | * | 1.2369 | * | 23 0.0328 | * | 1.1229 | * | 24 0.00350 |* | 0.0952 |* | 25 0.0624 | * | 1.7965 | * | 26 0.0621 | * | 1.3805 | * | 27 0.1002 | * | 2.5392 | * | 28 0.0412 | * | 0.8292 | * | 29 0.0221 | * | 0.4816 | * | 30 0.0821 | * | 2.3059 | * | 31 0.1620 | * | 2.0608 | * | 32 0.0984 | * | 0.9182 | * | 33 0.0180 | * | 0.3898 | * | 34 0.0328 | * | 1.1229 | * | 35 0.5240 | *| 4.7150 | *| 36 0.0412 | * | 0.8292 | * | 37 0.0197 | * | 0.8175 | * | 38 0.0328 | * | 1.1229 | * | 39 0.0328 | * | 1.1229 | * | 40 0.0328 | * | 1.1229 | * | 41 0.0197 | * | 0.8175 | * | 42 0.0157 |* | 0.5884 | * | Residual vs. observation 29 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Delta Chi-Square Case (1 unit = 0.48) Number Value 0 2 4 6 8 12 16 1 0.8913 | * | 2 1.0060 | * | 3 4.7276 | * | 4 0.5099 | * | 5 0.5963 | * | 6 0.2377 |* | 7 0.8621 | * | 8 0.0430 |* | 9 0.0339 |* | 10 0.8621 | * | 11 3.8827 | * | 12 1.8153 | * | 13 0.5963 | * | 14 0.8913 | * | 15 0.2402 | * | 16 0.2595 | * | 17 1.8153 | * | 18 0.1395 |* | 19 0.7483 | * | 20 0.0639 |* | 21 0.2058 |* | 22 0.8615 | * | 23 0.7575 | * | 24 0.0504 |* | 25 1.4423 | * | 26 0.9953 | * | 27 2.4857 | * | 28 0.5241 | * | 29 0.2804 | * | 30 2.1222 | * | 31 1.7462 | * | 32 0.6051 | * | 33 0.2223 |* | 34 0.7575 | * | 35 7.6536 | *| 36 0.5241 | * | 37 0.5099 | * | 38 0.7575 | * | 39 0.7575 | * | 40 0.7575 | * | 41 0.5099 | * | 42 0.3473 | * | Residual vs. observation 30 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Pearson Residual Covariates Case (1 unit = 0.33) Number age sex Value -8 -4 0 2 4 6 8 43 23.0000 1.0000 1.0863 | | * | 44 24.0000 1.0000 -0.8852 | * | | 45 25.0000 0 0.5285 | | * | Regression Diagnostics Deviance Residual Hat Matrix Diagonal Case (1 unit = 0.26) (1 unit = 0.01) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 43 1.2485 | | * | 0.0492 | * | 44 -1.0758 | * | | 0.0459 | * | 45 0.7019 | | * | 0.0780 | * | Regression Diagnostics Intercept age Case DfBeta (1 unit = 0.07) DfBeta (1 unit = 0.08) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 43 0.0896 | |* | -0.0992 | *| | 44 -0.0570 | *| | 0.0631 | |* | 45 0.1291 | | * | -0.0759 | *| | Regression Diagnostics Confidence Interval Displacement C sex Case DfBeta (1 unit = 0.06) (1 unit = 0.04) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 43 0.0974 | | * | 0.0642 | * | 44 -0.0838 | *| | 0.0396 | * | 45 -0.1332 | * | | 0.0256 | * | Residual vs. observation 31 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Confidence Interval Displacement CBar Delta Deviance Case (1 unit = 0.03) (1 unit = 0.29) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 43 0.0611 | * | 1.6198 | * | 44 0.0377 | * | 1.1951 | * | 45 0.0236 | * | 0.5163 | * | Regression Diagnostics Delta Chi-Square Case (1 unit = 0.48) Number Value 0 2 4 6 8 12 16 43 1.2411 | * | 44 0.8214 | * | 45 0.3030 | * | Residual vs. observation 32 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† RESCHI ‚ ‚ P 4 ˆ ˆ e ‚ ‚ a ‚ ‚ r ‚ * ‚ s ‚ ‚ o 2 ˆ * ˆ n ‚ * * ‚ ‚ * * * * ‚ R ‚ * * * * * ‚ e ‚ ** * * * * * ‚ s 0 ˆ * ˆ i ‚ * * * * * ‚ d ‚ * ** * * ** * * * * ***** * ‚ u ‚ * ‚ a ‚ ‚ l -2 ˆ * ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† D RESDEV ‚ ‚ e 2 ˆ * ˆ v ‚ * ‚ i ‚ * * * * ‚ a ‚ * ** * ‚ n ‚ * * * ‚ c ‚ ** * * ‚ e ‚ * * * ‚ ‚ ‚ R 0 ˆ ˆ e ‚ ** * * ‚ s ‚ ‚ i ‚ * * ‚ d ‚ * ** * * ** * * * * ***** * ‚ u ‚ ‚ a ‚ * ‚ l ‚ * ‚ -2 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 33 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† H ‚ ‚ 0.20 ˆ ˆ ‚ ‚ H ‚ ‚ a ‚ * ‚ t 0.15 ˆ * ˆ ‚ ‚ D ‚ * * ‚ i ‚ ‚ a 0.10 ˆ * ˆ g ‚ * * * ‚ o ‚ * ** * * * ** * * * ‚ n ‚ * * ** * * ‚ a 0.05 ˆ * * *** ˆ l ‚ ** ** * * * * * * ***** ‚ ‚ ‚ ‚ ‚ 0.00 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA0 ‚ ‚ I 0.25 ˆ ˆ n ‚ ‚ t ‚ ** * ** * ** ** * * ‚ e ‚ ***** ** ** ** ‚ r 0.00 ˆ * ** ** * * * ˆ c ‚ * * * * * *** * ‚ e ‚ * ‚ p ‚ ‚ t -0.25 ˆ ˆ ‚ * ‚ D ‚ * ‚ f ‚ * ‚ B -0.50 ˆ ˆ e ‚ * ‚ t ‚ ‚ a ‚ ‚ -0.75 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 34 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA1 ‚ ‚ 1.0 ˆ ˆ ‚ ‚ ‚ ‚ a ‚ ‚ g ‚ * ‚ e 0.5 ˆ ˆ ‚ * ‚ D ‚ * * ‚ f ‚ ‚ B ‚ ** * * * * ‚ e 0.0 ˆ ** * ** * * * * ****** ˆ t ‚ * * ** * ** *** * * ** * ‚ a ‚ * * * * * ‚ ‚ ‚ ‚ ‚ -0.5 ˆ ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA2 ‚ ‚ 0.50 ˆ * ˆ ‚ ‚ ‚ * ‚ s ‚ ‚ e ‚ * ‚ x 0.25 ˆ ˆ ‚ * ‚ D ‚ * * * * * * ‚ f ‚ * * * ‚ B ‚ * * ‚ e 0.00 ˆ ** ˆ t ‚ * * * * ‚ a ‚ * ** **** * * * ** ****** * ‚ ‚ ** * * ‚ ‚ * ‚ -0.25 ˆ ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 35 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† C C ‚ ‚ o 0.6 ˆ ˆ n ‚ * ‚ f ‚ ‚ i ‚ ‚ d ‚ ‚ e 0.4 ˆ ˆ n ‚ ‚ c ‚ * ‚ e ‚ * ‚ ‚ ‚ I 0.2 ˆ ˆ n ‚ * ‚ t ‚ * * * * * * ‚ e ‚ * * * ** * * ‚ r ‚ * ** **** * ** * ****** ** ‚ v 0.0 ˆ * ** * ** * * * ˆ a ‚ ‚ l ŠƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 D Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† C CBAR ‚ ‚ o 0.6 ˆ ˆ n ‚ ‚ f ‚ * ‚ i ‚ ‚ d ‚ ‚ e 0.4 ˆ ˆ n ‚ ‚ c ‚ * ‚ e ‚ * ‚ ‚ ‚ I 0.2 ˆ ˆ n ‚ * ‚ t ‚ * * * * * ‚ e ‚ * * * ** * * * ‚ r ‚ * * ** * * ** * * *** ** ‚ v 0.0 ˆ * * ** * * ** * * * ** ˆ a ‚ ‚ l ŠƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 D Case Number INDEX Residual vs. observation 36 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† DIFDEV ‚ ‚ 6 ˆ ˆ D ‚ ‚ e ‚ ‚ l ‚ * ‚ t ‚ ‚ a 4 ˆ ˆ ‚ * ‚ D ‚ * ‚ e ‚ ‚ v ‚ * * ‚ i 2 ˆ * * * ˆ a ‚ * * ‚ n ‚ ** * * * * ** * * *** * ‚ c ‚ ** * * * ** * ‚ e ‚ * ** * * * * * * ‚ 0 ˆ ** * * ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DIFCHISQ ‚ ‚ D 7.5 ˆ * ˆ e ‚ ‚ l ‚ ‚ t ‚ ‚ a ‚ ‚ 5.0 ˆ ˆ C ‚ * ‚ h ‚ * ‚ i ‚ ‚ S ‚ ‚ q 2.5 ˆ * ˆ u ‚ * * * ‚ a ‚ * * ‚ r ‚ ** * * * ** * * *** ** ‚ e ‚ ** * * * ** * ** ** * ‚ 0.0 ˆ * ** * * ** * * ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 37 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Model Information Data Set WORK.DONNER Response Variable survive Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 45 Number of Observations Used 45 Response Profile Ordered Total Value survive Frequency 1 1 20 2 0 25 Probability modeled is survive=1. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 63.827 55.346 SC 65.633 62.573 -2 Log L 61.827 47.346 Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 14.4802 3 0.0023 Score 12.3932 3 0.0062 Wald 7.0562 3 0.0701 Residual vs. observation 38 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 7.2450 3.2046 5.1114 0.0238 age 1 -0.1940 0.0874 4.9289 0.0264 sex 1 -6.9267 3.3983 4.1546 0.0415 age*sex 1 0.1616 0.0942 2.9385 0.0865 Association of Predicted Probabilities and Observed Responses Percent Concordant 76.2 Somers' D 0.556 Percent Discordant 20.6 Gamma 0.574 Percent Tied 3.2 Tau-a 0.281 Pairs 500 c 0.778 Partition for the Hosmer and Lemeshow Test survive = 1 survive = 0 Group Total Observed Expected Observed Expected 1 5 0 0.67 5 4.33 2 6 2 1.33 4 4.67 3 6 2 2.00 4 4.00 4 5 3 1.80 2 3.20 5 6 1 2.27 5 3.73 6 5 2 1.99 3 3.01 7 6 4 4.20 2 1.80 8 6 6 5.74 0 0.26 Hosmer and Lemeshow Goodness-of-Fit Test Chi-Square DF Pr > ChiSq 3.9247 6 0.6869 Residual vs. observation 39 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Covariates Pearson Residual Case age * (1 unit = 0.41) Number age sex sex Value -8 -4 0 2 4 6 8 1 23.0000 1.0000 23.0000 -0.8071 | * | | 2 40.0000 0 0 1.2947 | | * | 3 40.0000 1.0000 40.0000 1.6329 | | * | 4 30.0000 1.0000 30.0000 -0.7204 | * | | 5 28.0000 1.0000 28.0000 -0.7441 | * | | 6 40.0000 1.0000 40.0000 -0.6124 | *| | 7 45.0000 0 0 -0.4755 | *| | 8 62.0000 1.0000 62.0000 -0.4284 | *| | 9 65.0000 1.0000 65.0000 -0.4081 | *| | 10 45.0000 0 0 -0.4755 | *| | 11 25.0000 0 0 -3.3102 |* | | 12 28.0000 1.0000 28.0000 1.3438 | | * | 13 28.0000 1.0000 28.0000 -0.7441 | * | | 14 23.0000 1.0000 23.0000 -0.8071 | * | | 15 22.0000 0 0 0.2258 | |* | 16 23.0000 0 0 0.2488 | |* | 17 28.0000 1.0000 28.0000 1.3438 | | * | 18 15.0000 0 0 0.1145 | * | 19 47.0000 0 0 -0.3916 | *| | 20 57.0000 1.0000 57.0000 -0.4647 | *| | 21 20.0000 0 0 0.1860 | * | 22 18.0000 1.0000 18.0000 1.1424 | | * | 23 25.0000 1.0000 25.0000 -0.7813 | * | | 24 60.0000 1.0000 60.0000 -0.4426 | *| | 25 25.0000 1.0000 25.0000 1.2799 | | * | 26 20.0000 1.0000 20.0000 1.1801 | | * | 27 32.0000 1.0000 32.0000 1.4340 | | * | 28 32.0000 0 0 0.5958 | |* | 29 24.0000 0 0 0.2742 | |* | 30 30.0000 1.0000 30.0000 1.3882 | | * | 31 15.0000 1.0000 15.0000 -0.9191 | * | | 32 50.0000 0 0 -0.2927 | *| | 33 21.0000 0 0 0.2049 | * | 34 25.0000 1.0000 25.0000 -0.7813 | * | | 35 46.0000 1.0000 46.0000 1.8000 | | * | 36 32.0000 0 0 0.5958 | |* | 37 30.0000 1.0000 30.0000 -0.7204 | * | | 38 25.0000 1.0000 25.0000 -0.7813 | * | | 39 25.0000 1.0000 25.0000 -0.7813 | * | | 40 25.0000 1.0000 25.0000 -0.7813 | * | | 41 30.0000 1.0000 30.0000 -0.7204 | * | | 42 35.0000 1.0000 35.0000 -0.6642 | * | | Residual vs. observation 40 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Deviance Residual Hat Matrix Diagonal Case (1 unit = 0.28) (1 unit = 0.01) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 1 -1.0016 | * | | 0.0518 | * | 2 1.4032 | | * | 0.1915 | * | 3 1.6120 | | * | 0.0550 | * | 4 -0.9143 | * | | 0.0348 | * | 5 -0.9388 | * | | 0.0367 | * | 6 -0.7981 | * | | 0.0550 | * | 7 -0.6385 | * | | 0.2039 | *| 8 -0.5806 | * | | 0.1865 | * | 9 -0.5550 | * | | 0.2047 | *| 10 -0.6385 | * | | 0.2039 | *| 11 -2.2277 |* | | 0.1148 | * | 12 1.4365 | | * | 0.0367 | * | 13 -0.9388 | * | | 0.0367 | * | 14 -1.0016 | * | | 0.0518 | * | 15 0.3154 | |* | 0.0945 | * | 16 0.3466 | |* | 0.1015 | * | 17 1.4365 | | * | 0.0367 | * | 18 0.1614 | |* | 0.0493 | * | 19 -0.5342 | * | | 0.1934 | * | 20 -0.6253 | * | | 0.1543 | * | 21 0.2608 | |* | 0.0804 | * | 22 1.2924 | | * | 0.0825 | * | 23 -0.9762 | * | | 0.0439 | * | 24 -0.5981 | * | | 0.1738 | * | 25 1.3929 | | * | 0.0439 | * | 26 1.3209 | | * | 0.0683 | * | 27 1.4948 | | * | 0.0351 | * | 28 0.7795 | | * | 0.1456 | * | 29 0.3807 | |* | 0.1083 | * | 30 1.4656 | | * | 0.0348 | * | 31 -1.1066 | * | | 0.1085 | * | 32 -0.4055 | *| | 0.1654 | * | 33 0.2868 | |* | 0.0874 | * | 34 -0.9762 | * | | 0.0439 | * | 35 1.6998 | | * | 0.0848 | * | 36 0.7795 | | * | 0.1456 | * | 37 -0.9143 | * | | 0.0348 | * | 38 -0.9762 | * | | 0.0439 | * | 39 -0.9762 | * | | 0.0439 | * | 40 -0.9762 | * | | 0.0439 | * | 41 -0.9143 | * | | 0.0348 | * | 42 -0.8549 | * | | 0.0393 | * | Residual vs. observation 41 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Intercept age Case DfBeta (1 unit = 0.14) DfBeta (1 unit = 0.12) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 1 1.15E-15 | * | -132E-17 | * | 2 -0.1372 | *| | 0.3071 | | * | 3 8.53E-16 | * | 0 | * | 4 3.92E-16 | * | -562E-18 | * | 5 5.13E-16 | * | -822E-18 | * | 6 -32E-17 | * | 0 | * | 7 0.1389 | |* | -0.1930 | * | | 8 -106E-17 | * | 9.69E-16 | * | 9 -119E-17 | * | 1.03E-15 | * | 10 0.1389 | |* | -0.1930 | * | | 11 -1.1294 |* | | 0.9468 | | *| 12 -926E-18 | * | 1.49E-15 | * | 13 5.13E-16 | * | -822E-18 | * | 14 1.15E-15 | * | -132E-17 | * | 15 0.0720 | |* | -0.0631 | *| | 16 0.0818 | |* | -0.0707 | *| | 17 -926E-18 | * | 1.49E-15 | * | 18 0.0264 | * | -0.0243 | * | 19 0.1268 | |* | -0.1662 | *| | 20 -105E-17 | * | 8E-16 | * | 21 0.0550 | * | -0.0491 | * | 22 -222E-17 | * | 2.74E-15 | * | 23 7.69E-16 | * | -113E-17 | * | 24 -11E-16 | * | 1.01E-15 | * | 25 -126E-17 | * | 1.86E-15 | * | 26 -208E-17 | * | 2.58E-15 | * | 27 -387E-18 | * | 8.86E-16 | * | 28 0.1531 | |* | -0.0929 | *| | 29 0.0922 | |* | -0.0786 | *| | 30 -756E-18 | * | 1.08E-15 | * | 31 2.28E-15 | * | -253E-17 | * | 32 0.0967 | |* | -0.1201 | *| | 33 0.0631 | * | -0.0558 | * | 34 7.69E-16 | * | -113E-17 | * | 35 1.85E-15 | * | -159E-17 | * | 36 0.1531 | |* | -0.0929 | *| | 37 3.92E-16 | * | -562E-18 | * | 38 7.69E-16 | * | -113E-17 | * | 39 7.69E-16 | * | -113E-17 | * | 40 7.69E-16 | * | -113E-17 | * | 41 3.92E-16 | * | -562E-18 | * | 42 -177E-18 | * | -202E-18 | * | Residual vs. observation 42 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics sex agesex Case DfBeta (1 unit = 0.13) DfBeta (1 unit = 0.11) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 1 -0.0513 | * | 0.0388 | * | 2 0.1294 | |* | -0.2848 | * | | 3 -0.0491 | * | 0.1009 | |* | 4 -0.0164 | * | 0.000319 | * | 5 -0.0253 | * | 0.0101 | * | 6 0.0184 | * | -0.0378 | * | 7 -0.1310 | *| | 0.1790 | | * | 8 0.0583 | * | -0.0803 | *| | 9 0.0608 | * | -0.0827 | *| | 10 -0.1310 | *| | 0.1790 | | * | 11 1.0650 | | *| -0.8780 |* | | 12 0.0456 | * | -0.0182 | * | 13 -0.0253 | * | 0.0101 | * | 14 -0.0513 | * | 0.0388 | * | 15 -0.0679 | *| | 0.0585 | |* | 16 -0.0771 | *| | 0.0656 | |* | 17 0.0456 | * | -0.0182 | * | 18 -0.0249 | * | 0.0226 | * | 19 -0.1195 | *| | 0.1541 | |* | 20 0.0527 | * | -0.0746 | *| | 21 -0.0519 | * | 0.0456 | * | 22 0.1100 | |* | -0.0983 | *| | 23 -0.0402 | * | 0.0265 | * | 24 0.0563 | * | -0.0783 | *| | 25 0.0658 | * | -0.0434 | * | 26 0.0977 | |* | -0.0830 | *| | 27 0.0169 | * | 0.0178 | * | 28 -0.1443 | *| | 0.0861 | |* | 29 -0.0869 | *| | 0.0729 | |* | 30 0.0316 | * | -0.00062 | * | 31 -0.1086 | *| | 0.1021 | |* | 32 -0.0912 | *| | 0.1114 | |* | 33 -0.0595 | * | 0.0518 | * | 34 -0.0402 | * | 0.0265 | * | 35 -0.1084 | *| | 0.1756 | | * | 36 -0.1443 | *| | 0.0861 | |* | 37 -0.0164 | * | 0.000319 | * | 38 -0.0402 | * | 0.0265 | * | 39 -0.0402 | * | 0.0265 | * | 40 -0.0402 | * | 0.0265 | * | 41 -0.0164 | * | 0.000319 | * | 42 0.00279 | * | -0.0207 | * | Residual vs. observation 43 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Confidence Interval Confidence Interval Displacement C Displacement CBar Case (1 unit = 0.1) (1 unit = 0.09) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 1 0.0375 |* | 0.0356 |* | 2 0.4911 | * | 0.3970 | * | 3 0.1643 | * | 0.1552 | * | 4 0.0194 |* | 0.0187 |* | 5 0.0219 |* | 0.0211 |* | 6 0.0231 |* | 0.0218 |* | 7 0.0727 | * | 0.0579 | * | 8 0.0517 | * | 0.0421 |* | 9 0.0539 | * | 0.0428 |* | 10 0.0727 | * | 0.0579 | * | 11 1.6049 | *| 1.4207 | *| 12 0.0714 | * | 0.0688 | * | 13 0.0219 |* | 0.0211 |* | 14 0.0375 |* | 0.0356 |* | 15 0.00587 |* | 0.00532 |* | 16 0.00778 |* | 0.00699 |* | 17 0.0714 | * | 0.0688 | * | 18 0.000715 |* | 0.000680 |* | 19 0.0456 |* | 0.0368 |* | 20 0.0466 |* | 0.0394 |* | 21 0.00329 |* | 0.00302 |* | 22 0.1279 | * | 0.1173 | * | 23 0.0293 |* | 0.0280 |* | 24 0.0499 |* | 0.0412 |* | 25 0.0787 | * | 0.0753 | * | 26 0.1096 | * | 0.1021 | * | 27 0.0774 | * | 0.0747 | * | 28 0.0708 | * | 0.0605 | * | 29 0.0102 |* | 0.00913 |* | 30 0.0720 | * | 0.0694 | * | 31 0.1153 | * | 0.1028 | * | 32 0.0203 |* | 0.0170 |* | 33 0.00441 |* | 0.00402 |* | 34 0.0293 |* | 0.0280 |* | 35 0.3279 | * | 0.3001 | * | 36 0.0708 | * | 0.0605 | * | 37 0.0194 |* | 0.0187 |* | 38 0.0293 |* | 0.0280 |* | 39 0.0293 |* | 0.0280 |* | 40 0.0293 |* | 0.0280 |* | 41 0.0194 |* | 0.0187 |* | 42 0.0188 |* | 0.0180 |* | Residual vs. observation 44 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Delta Deviance Delta Chi-Square Case (1 unit = 0.4) (1 unit = 0.77) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 1 1.0388 | * | 0.6870 | * | 2 2.3660 | * | 2.0734 | * | 3 2.7537 | * | 2.8217 | * | 4 0.8547 | * | 0.5376 | * | 5 0.9024 | * | 0.5749 | * | 6 0.6588 | * | 0.3969 | * | 7 0.4656 | * | 0.2840 |* | 8 0.3791 | * | 0.2256 |* | 9 0.3509 | * | 0.2094 |* | 10 0.4656 | * | 0.2840 |* | 11 6.3834 | *| 12.3778 | *| 12 2.1322 | * | 1.8746 | * | 13 0.9024 | * | 0.5749 | * | 14 1.0388 | * | 0.6870 | * | 15 0.1048 |* | 0.0563 |* | 16 0.1271 |* | 0.0689 |* | 17 2.1322 | * | 1.8746 | * | 18 0.0267 |* | 0.0138 |* | 19 0.3221 | * | 0.1901 |* | 20 0.4304 | * | 0.2553 |* | 21 0.0710 |* | 0.0376 |* | 22 1.7875 | * | 1.4224 | * | 23 0.9810 | * | 0.6385 | * | 24 0.3990 | * | 0.2371 |* | 25 2.0154 | * | 1.7135 | * | 26 1.8469 | * | 1.4947 | * | 27 2.3092 | * | 2.1311 | * | 28 0.6680 | * | 0.4154 | * | 29 0.1541 |* | 0.0843 |* | 30 2.2174 | * | 1.9965 | * | 31 1.3274 | * | 0.9475 | * | 32 0.1814 |* | 0.1027 |* | 33 0.0863 |* | 0.0460 |* | 34 0.9810 | * | 0.6385 | * | 35 3.1893 | * | 3.5403 | * | 36 0.6680 | * | 0.4154 | * | 37 0.8547 | * | 0.5376 | * | 38 0.9810 | * | 0.6385 | * | 39 0.9810 | * | 0.6385 | * | 40 0.9810 | * | 0.6385 | * | 41 0.8547 | * | 0.5376 | * | 42 0.7489 | * | 0.4592 | * | Residual vs. observation 45 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Covariates Pearson Residual Case age * (1 unit = 0.41) Number age sex sex Value -8 -4 0 2 4 6 8 43 23.0000 1.0000 23.0000 1.2390 | | * | 44 24.0000 1.0000 24.0000 -0.7941 | * | | 45 25.0000 0 0 0.3021 | |* | Regression Diagnostics Deviance Residual Hat Matrix Diagonal Case (1 unit = 0.28) (1 unit = 0.01) Number Value -8 -4 0 2 4 6 8 Value 0 2 4 6 8 12 16 43 1.3640 | | * | 0.0518 | * | 44 -0.9889 | * | | 0.0475 | * | 45 0.4179 | | * | 0.1148 | * | Regression Diagnostics Intercept age Case DfBeta (1 unit = 0.14) DfBeta (1 unit = 0.12) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 43 -177E-17 | * | 2.03E-15 | * | 44 9E-16 | * | -129E-17 | * | 45 0.1031 | |* | -0.0864 | *| | Regression Diagnostics sex agesex Case DfBeta (1 unit = 0.13) DfBeta (1 unit = 0.11) Number Value -8 -4 0 2 4 6 8 Value -8 -4 0 2 4 6 8 43 0.0787 | |* | -0.0596 | *| | 44 -0.0456 | * | 0.0325 | * | 45 -0.0972 | *| | 0.0801 | |* | Residual vs. observation 46 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure Regression Diagnostics Confidence Interval Confidence Interval Displacement C Displacement CBar Case (1 unit = 0.1) (1 unit = 0.09) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 43 0.0884 | * | 0.0838 | * | 44 0.0330 |* | 0.0315 |* | 45 0.0134 |* | 0.0118 |* | Regression Diagnostics Delta Deviance Delta Chi-Square Case (1 unit = 0.4) (1 unit = 0.77) Number Value 0 2 4 6 8 12 16 Value 0 2 4 6 8 12 16 43 1.9444 | * | 1.6190 | * | 44 1.0093 | * | 0.6621 | * | 45 0.1865 |* | 0.1031 |* | Residual vs. observation 47 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† RESCHI ‚ ‚ P 2 ˆ * ˆ e ‚ * * ‚ a ‚ * * * * ** * * ‚ r ‚ ‚ s ‚ ** ** * * * ‚ o 0 ˆ * * ˆ n ‚ **** ** * * ‚ ‚ * *** ** * * * ****** * ‚ R ‚ ‚ e ‚ ‚ s -2 ˆ ˆ i ‚ ‚ d ‚ ‚ u ‚ * ‚ a ‚ ‚ l -4 ˆ ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† D RESDEV ‚ ‚ e 2 ˆ ˆ v ‚ ** * * * * * ‚ i ‚ * ** * ‚ a ‚ * * ‚ n ‚ ** * * * * ‚ c 0 ˆ * ˆ e ‚ ** * * * ‚ ‚ **** * * * * * ****** * ‚ R ‚ * * * ‚ e ‚ ‚ s -2 ˆ ˆ i ‚ * ‚ d ‚ ‚ u ‚ ‚ a ‚ ‚ l -4 ˆ ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 48 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† H ‚ ‚ 0.2 ˆ * ** ˆ ‚ * * * ‚ H ‚ * ‚ a ‚ * ‚ t ‚ * * * ‚ ‚ ‚ D ‚ ‚ i ‚ * * * * ‚ a 0.1 ˆ ** ˆ g ‚ * * * ‚ o ‚ * ‚ n ‚ * ‚ a ‚ * * * * * * * * *** ** ‚ l ‚ ** ** * * * * ** ‚ ‚ ‚ ‚ ‚ 0.0 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA0 ‚ ‚ I 0.5 ˆ ˆ n ‚ ‚ t ‚ ‚ e ‚ * * ** * ** ** * * ‚ r 0.0 ˆ * **** ** *** ** ******** ** ** ******** ˆ c ‚ * ‚ e ‚ ‚ p ‚ ‚ t -0.5 ˆ ˆ ‚ ‚ D ‚ ‚ f ‚ ‚ B -1.0 ˆ ˆ e ‚ * ‚ t ‚ ‚ a ‚ ‚ -1.5 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 49 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA1 ‚ ‚ 1.0 ˆ ˆ ‚ * ‚ ‚ ‚ a ‚ ‚ g ‚ ‚ e 0.5 ˆ ˆ ‚ ‚ D ‚ * ‚ f ‚ ‚ B ‚ ‚ e 0.0 ˆ * **** ** *** ** ******** ** ** ******** ˆ t ‚ ** ** ** * * ‚ a ‚ * * * ‚ ‚ ‚ ‚ ‚ -0.5 ˆ ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA2 ‚ ‚ 1.5 ˆ ˆ ‚ ‚ ‚ ‚ s ‚ * ‚ e 1.0 ˆ ˆ x ‚ ‚ ‚ ‚ D ‚ ‚ f 0.5 ˆ ˆ B ‚ ‚ e ‚ ‚ t ‚ * * ** * ‚ a 0.0 ˆ * **** ** *** ** ** ** * * ** ****** * ˆ ‚ * * ** * ** ** ** * ‚ ‚ ‚ ‚ ‚ -0.5 ˆ ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 50 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DFBETA3 ‚ ‚ 0.5 ˆ ˆ a ‚ ‚ g ‚ ‚ e ‚ * * * * ‚ s ‚ * ** ** *** * * ‚ e 0.0 ˆ * *** *** ** * * * * * * ****** * ˆ x ‚ ** * * * * * ‚ ‚ ‚ D ‚ * ‚ f ‚ ‚ B -0.5 ˆ ˆ e ‚ ‚ t ‚ ‚ a ‚ ‚ ‚ * ‚ -1.0 ˆ ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒƒ† C C ‚ ‚ o 2 ˆ ˆ n ‚ ‚ f ‚ ‚ i ‚ * ‚ d ‚ ‚ e ‚ ‚ n ‚ ‚ c ‚ ‚ e 1 ˆ ˆ ‚ ‚ I ‚ ‚ n ‚ ‚ t ‚ * ‚ e ‚ * ‚ r ‚ ‚ v ‚ * * * * * * **** ** * * ‚ a 0 ˆ * *** ** **** **** ** * *** ****** ** ˆ l ŠƒƒƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 D Case Number INDEX Residual vs. observation 51 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒ† C CBAR ‚ ‚ o 1.5 ˆ ˆ n ‚ * ‚ f ‚ ‚ i ‚ ‚ d ‚ ‚ e 1.0 ˆ ˆ n ‚ ‚ c ‚ ‚ e ‚ ‚ ‚ ‚ I 0.5 ˆ ˆ n ‚ * ‚ t ‚ * ‚ e ‚ * ‚ r ‚ * * * * * **** ** * * ‚ v 0.0 ˆ * *** ** **** **** ** * *** ****** ** ˆ a ‚ ‚ l ŠƒƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 D Case Number INDEX „ƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒ† DIFDEV ‚ ‚ 8 ˆ ˆ D ‚ ‚ e ‚ ‚ l ‚ * ‚ t 6 ˆ ˆ a ‚ ‚ ‚ ‚ D ‚ ‚ e 4 ˆ ˆ v ‚ ‚ i ‚ * * ‚ a ‚ * * ‚ n 2 ˆ * * * ** * * ˆ c ‚ * ‚ e ‚ * ** ** * * ***** * ‚ ‚ ***** ** * * * * ‚ 0 ˆ ** * * * ** * ˆ ŠƒƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX Residual vs. observation 52 09:43 Thursday, February 20, 2014 The LOGISTIC Procedure „ƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒ† DIFCHISQ ‚ ‚ D 15 ˆ ˆ e ‚ ‚ l ‚ ‚ t ‚ * ‚ a ‚ ‚ 10 ˆ ˆ C ‚ ‚ h ‚ ‚ i ‚ ‚ S ‚ ‚ q 5 ˆ ˆ u ‚ * ‚ a ‚ * ‚ r ‚ * * * * * * * ‚ e ‚ * ** ** ** * * * ***** * ‚ 0 ˆ ***** ** **** * ** ** * * * ˆ ‚ ‚ ŠƒƒƒƒƒƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒˆƒƒƒƒƒƒƒƒƒƒŒ 0 5 10 15 20 25 30 35 40 45 Case Number INDEX