Binary Logistic Regression is a form of multivariate data analysis used for predicting dependent variables which is composed of binary outcomes (e.g. presence/absence, yes/no, agree/disagree). In contrast to Multiple Linear Regression, it uses dummy coding for its dependent variable (0,1).
Below are links to a Binary Logistic Regression learning activity using SPSS.
Use this reference for interpreting logistic regression results.
Or watch the video below: