Logistic regression is a type of regression analysis used to predict the outcome of a variable that can take on a limited number of categories based on one or more predictors. A logistic regression analysis displays a categorical value predictive of a numerical value.
To begin the analysis, see Running the Analyses, then perform the following steps.
To perform a logistic regression analysis:
Click the Advanced Workflow tab, then open the Analysis menu.
Select Logistic Regression.
The Variable Selection section appears.
Define the Independent Variable and the Outcome variables, following the instructions above the entry boxes.
The categorical Outcome variable must use two — and only two — nodes.
The top of the logistic regression plot is determined by the first entry in the Outcome variable box.
Optionally, select Enable binning.
Your analysis appears below. Note that raw data (Event/Non-Event data) is plotted along the top and bottom of the analysis.