Since the predicted outcome is a probability, the dependent variable is either 0 or 1. This is referred to as a logit transformation. Logistic regression, therefore, makes a prediction about two ...

Logistic regression ... it maps the predicted values to the probabilities used to then calculate the model coefficients. The formula overall represents the linear combination of the explanatory ...

Results of the CTABLE option are shown in Output 39.1.11. Each row of the "Classification Table" corresponds to a cutpoint applied to the predicted probabilities, which is given in the Prob Level ...

When the dependent variable is categorical, a common approach is to use logistic regression ... and then the predicted membership probability is thresholded to predict the class membership ...