- In-class exercises
- Linear modeling supplement
- An excellent overview of linear modeling, including model intepretation and fitting in R, written by Claus Wilke, PhD.
- Broom vignette
- See Linear modeling supplement above as well
We use linear models to ask how various predictors affect, or to what extent a set of predictors can explain, a numeric response. The goal of linear modeling is to be able to predict the numeric response from explanatory variables.
We use logistic regression models to ask how well various predictors can predict a binary outcome (i.e. healthy or diseased).