The SAS System 1 Obs hire educ exp gender 1 0 6 2 0 2 0 4 0 1 3 1 6 6 1 4 1 6 3 1 5 0 4 1 0 6 1 8 3 0 7 0 4 2 1 8 0 4 4 0 9 0 6 1 0 10 1 8 10 0 11 0 4 2 1 12 0 8 5 0 13 0 4 2 0 14 0 6 7 0 15 1 4 5 1 16 0 6 4 0 17 0 8 0 1 18 1 6 1 1 19 0 4 7 0 20 0 4 1 1 21 0 4 5 0 22 0 6 0 1 23 1 8 5 1 24 0 4 9 0 25 0 8 1 0 26 0 6 1 1 27 1 4 10 1 28 1 6 12 0 The SAS System 2 The LOGISTIC Procedure Model Information Data Set WORK.DISCRIM Response Variable hire Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 28 Number of Observations Used 28 Response Profile Ordered Total Value hire Frequency 1 0 19 2 1 9 Probability modeled is hire=1. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 37.165 22.735 SC 38.497 28.064 -2 Log L 35.165 14.735 Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 20.4299 3 0.0001 Score 15.0320 3 0.0018 Wald 5.2883 3 0.1519 The SAS System 3 The LOGISTIC Procedure Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 -14.2482 6.0805 5.4909 0.0191 educ 1 1.1549 0.6023 3.6767 0.0552 exp 1 0.9098 0.4293 4.4919 0.0341 gender 1 5.6037 2.6028 4.6352 0.0313 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits educ 3.174 0.975 10.333 exp 2.484 1.071 5.762 gender 271.422 1.653 >999.999 Association of Predicted Probabilities and Observed Responses Percent Concordant 93.0 Somers' D 0.865 Percent Discordant 6.4 Gamma 0.871 Percent Tied 0.6 Tau-a 0.392 Pairs 171 c 0.933 The SAS System 4 Obs hire educ exp gender _LEVEL_ predict lower upper resid 1 0 6 2 0 1 0.00407 0.00005 0.27086 -0.09035 2 0 4 0 1 1 0.01755 0.00048 0.40027 -0.18817 3 1 6 6 1 1 0.97688 0.42319 0.99959 0.21628 4 1 6 3 1 1 0.73385 0.26804 0.95405 0.78670 5 0 4 1 0 1 0.00016 0.00000 0.15324 -0.01808 6 1 8 3 0 1 0.09282 0.00485 0.68232 2.18040 7 0 4 2 1 1 0.09927 0.00894 0.57370 -0.45727 8 0 4 4 0 1 0.00250 0.00002 0.24465 -0.07074 9 0 6 1 0 1 0.00164 0.00001 0.24049 -0.05736 10 1 8 10 0 1 0.98352 0.27405 0.99989 0.18228 11 0 4 2 1 1 0.09927 0.00894 0.57370 -0.45727 12 0 8 5 0 1 0.38699 0.04394 0.89661 -0.98932 13 0 4 2 0 1 0.00041 0.00000 0.17559 -0.02849 14 0 6 7 0 1 0.27888 0.04027 0.78091 -0.80864 15 1 4 5 1 1 0.62813 0.11439 0.95669 0.96438 16 0 6 4 0 1 0.02461 0.00108 0.37068 -0.22325 17 0 8 0 1 1 0.64439 0.11457 0.96209 -1.43800 18 1 6 1 1 1 0.30886 0.07490 0.71155 1.53288 19 0 4 7 0 1 0.03698 0.00141 0.50996 -0.27451 20 0 4 1 1 1 0.04248 0.00221 0.47030 -0.29466 21 0 4 5 0 1 0.00618 0.00009 0.30151 -0.11139 22 0 6 0 1 1 0.15248 0.02129 0.59808 -0.57522 23 1 8 5 1 1 0.99420 0.50305 0.99997 0.10788 24 0 4 9 0 1 0.19153 0.01081 0.83708 -0.65209 25 0 8 1 0 1 0.01631 0.00026 0.51595 -0.18137 26 0 6 1 1 1 0.30886 0.07490 0.71155 -0.85955 27 1 4 10 1 1 0.99378 0.29208 0.99998 0.11173 28 1 6 12 0 1 0.97338 0.19876 0.99981 0.23229