A Gentle Introduction to Statistics Using SAS Studio in the Cloud

13

Binary Logistic Regression

Introduction

In the last chapter, you learned how to create multiple regression models. Conceptually, logistic regression has some similarities to multiple regression, although the computational method (maximum likelihood) is quite different (and CPU-intensive). Multiple regression uses a set of predictor variables to predict and model a continuous outcome variable. Binary logistic regression uses a set of predictor variables to predict a dichotomous outcome. Theoretically, a multiple regression equation can predict values from negative infinity to positive infinity—binary logistic regression is attempting to compute a probability that an event occurs or does not occur. Because probabilities are bounded between ...