Binary Logistic Regression is a powerful technique that is used with binomial response data in order to identify which Xs are driving it. In this module we provide a general method for conducting Binary Logistic Regression with multiple predictors. Focus is also given to the impact of multicollinearity and how the presence of this can be identified through Minitab. We then walk through an example using continuous and categorical predictors, including how to verify assumptions using goodness of Fits tests.
