Advanced Regression

Department of Sociology

University of Toronto

Below are the syllabus, R-scipts, datasets, assignments and lecture notes for the course. When possible, I will post these materials before each class but students should be prepared to take notes in class in the event that I am unable to post them ahead of time.

- Wednesday Lecture: Introduction to R; Distributions
- Thursday Lecture: Linear Regression
- Assignment #1 (Due at start of class on Wednesday, May 23rd)
**May 23-24** - Wednesday Lecture: Categorical Dependent Variables I
- Thursday Lecture: Categorical Dependent Variables II
- Assignment #2 (Due at start of class on Wednesday, May 30th)
**May 30-31** - Wednesday Lecture: Non-normality, Heteroskedasticity and Collinearity
- Thursday Lecture: Unusual Observations
- Assignment #3 (Due at start of class on Wednesday, June 6th)
**June 5-6** - Wednesday Lecture: Robust Regression and Bootstrapping
- Thursday Lecture: Nonlinearity and Nonparametric Regression
- Assignment #4 (Due at start of class on Wednesday, June 13th)
**June 12-13** - Wednesday Lecture: Generalized Additive Models
- Thursday Lecture: Mixed Models

**May 16-17**

For more information, contact Bob Andersen.