Chapter 9: Logistic Regression

This set of labs introduces the simple and multiple logistic regression models, with a focus on discussing model interpretation.
Lab Notes

1. Simple Logistic Regression

Introduces simple logistic regression, a model for the association of a binary response variable with a single predictor variable.

Handout Template Solutions

2. Multiple Logistic Regression

Discusses multiple logistic regression, an extension of simple logistic regression that allows for several predictors. The use of the Akaike Information Criterion as a metric for model selection is also discussed.

Handout Template Solutions

R (Base), Useful Links

The statistical software R is a widely used and stable software that is free. RStudio is a user-friendly interface for R.