MATH 423/533
Regression and Analysis of Variance

Fall 2015

You can find details on R here

Method of Evaluation
Handouts
  1. Linear Algebra in R
  2. The lm function
  3. Residuals
  4. Estimation
  5. ANOVA
  6. Bivariate Normal
  7. Multiple Regression
  8. Sums of Squares
  9. Multiple Regression in R
  10. Multiple Regression in R II
  11. The General Linear Hypothesis
  12. Factor Predictors
  13. Omitting the Intercept
  14. Stepwise selection
  15. Model Selection Criteria
  16. Orthogonality of Predictions
  17. Deletion Residuals



 Assignments
  1. Assignment 1 Solutions 1
  2. Assignment 2 Solutions 2
  3. Assignment 3 Solutions 3 Rcode Extra Rcode
  4. Assignment 4 Solutions 4


 
Exercises
  1. Exercises 1 Solutions 1
R Scripts

Scripts from the course are contained in this folder

 

 
Contact Details:
Professor David A. Stephens
Room 1225, Burnside Hall
Department of Mathematics and Statistics
McGill University

Phone: 514-398-2005
Fax: 514-398-3899
E-mail : David Stephens