# Linear Modeling I

## Lecture

- Slides
- In-class exercises
**Linear modeling supplement**- An
*excellent*overview of linear modeling, including model intepretation and fitting in R, written by Claus Wilke, PhD.

- An

## R content

- Broom vignette
- See Linear modeling supplement above as well

### Linear Model

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.

### Logistic Regression

We use logistic regression models to ask how well various predictors can predict a

binary outcome(i.e. healthy or diseased).