The SAS System 11 11:39 Wednesday, April 18, 2007 The LOGISTIC Procedure Model Information Data Set WORK.ICECREAM Response Variable z1 Number of Response Levels 2 Weight Variable Freq Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 72 Number of Observations Used 68 Sum of Weights Read 496 Sum of Weights Used 496 Response Profile Ordered Total Total Value z1 Frequency Weight 1 1 63 485.00000 2 0 5 11.00000 Probability modeled is z1=1. NOTE: 4 observations having nonpositive frequencies or weights were excluded since they do not contribute to the analysis. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 107.545 99.510 SC 109.765 106.168 -2 Log L 105.545 93.510 The SAS System 12 11:39 Wednesday, April 18, 2007 The LOGISTIC Procedure Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 12.0355 2 0.0024 Score 12.3161 2 0.0021 Wald 8.9188 2 0.0116 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 2.6846 0.4940 29.5289 <.0001 U 1 42.7980 14.5120 8.6974 0.0032 U2 1 -152.7 51.1201 8.9177 0.0028 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits U >999.999 >999.999 >999.999 U2 <0.001 <0.001 <0.001 Association of Predicted Probabilities and Observed Responses Percent Concordant 50.2 Somers' D 0.251 Percent Discordant 25.1 Gamma 0.333 Percent Tied 24.8 Tau-a 0.035 Pairs 315 c 0.625