Binary Logistic Regression

Use Binary Logistic Regression to describe the relationship between a set of predictors and a binary response. A binary response has two outcomes, such as pass or fail. You can include interaction and polynomial terms, perform stepwise regression, fit different link functions, and validate the model with a test sample or with cross-validation.

This analysis has the same capabilities as Stat > Regression > Binary Logistic Regression > Fit Binary Logistic Model. The version of the analysis from the Predictive Analytics Module has the following differences.

You access analyses that use the fitted model from the output pane instead of from the menu.
The fitted model is available no matter what worksheet is active, so you can predict for columns of data that are in a different worksheet from the response variable.

For details such as how to specify the analysis or interpret the results, go to Overview for Fit Binary Logistic Model and Binary Logistic Regression.