Soc6708:
Advanced Regression

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.

A. Course Syllabus

B. Datasets

• Brit9901.sav
• health91.sav
• india99.sav
• QuebecVA.sav
• Weakliem.txt
• Weakliem2.txt
• wvs.sav

C. Lecture notes, R-scripts and Assignments

May 16-17

• Wednesday Lecture: Introduction to R; Distributions
  • R-script
• Thursday Lecture: Linear Regression
  • R-script
• Assignment #1 (Due at start of class on Wednesday, May 23rd)

  May 23-24

• Wednesday Lecture: Categorical Dependent Variables I
  • R-script
• Thursday Lecture: Categorical Dependent Variables II
  • R-script
• Assignment #2 (Due at start of class on Wednesday, May 30th)

  May 30-31

• Wednesday Lecture: Non-normality, Heteroskedasticity and Collinearity
  • R-script
• Thursday Lecture: Unusual Observations
  • R-script
• Assignment #3 (Due at start of class on Wednesday, June 6th)

  June 5-6

• Wednesday Lecture: Robust Regression and Bootstrapping
  • R-script
• Thursday Lecture: Nonlinearity and Nonparametric Regression
  • R-script
• Assignment #4 (Due at start of class on Wednesday, June 13th)

  June 12-13

• Wednesday Lecture: Generalized Additive Models
  • R-script
• Thursday Lecture: Mixed Models
  • R-script

For more information, contact Bob Andersen.