Logistic Regression Sas Output. At the base of the table you can see the percentage of correct predictions is 79 05. We want a model that predicts probabilities between 0 and 1 that is s shaped.
Model r n x drug dist bin link logit lrci. To understand this we need to look at the prediction accuracy table also known as the classification table hit miss table and confusion matrix. The data were collected on 200 high school students with measurements on various tests including science math reading and social studies.
Output out pred p phat lower lcl upper ucl predprob individual crossvalidate.
From which we explore its relationship with gender female. There are lots of s shaped curves. For every one unit change in gre the log odds of admission versus non admission increases by 0 002. Model remiss event 1 cell smear infil li blast temp selection stepwise slentry 0 3 slstay 0 35 details lackfit.
