The article explains how logistic regression is used to analyze data with discrete variables. It starts with a simple case of one predictor variable and compares it to linear regression. Then, it expands to multiple predictor variables. The focus is on interpreting the logistic regression coefficients in practical applications. An example using data from the US General Social Survey is provided to illustrate the concepts. The article also discusses extending logistic regression to clustered data.