MATH 423/533: Regression and Analysis of Variance

Fall 2016

You can find details on R and RStudio here:
Method of Evaluation 2016
Required preparation

The Multivariate Normal Distribution: Some results

MATH 533: Extra Hour Material
Handouts
Title Uploaded
1. Linear Algebra in R Yes
2. The lm function Yes
3. Residuals Residuals Plots Yes
4. Estimation Yes
5. Sums of Squares Yes
6. ANOVA Yes
7. Multivariate Normal Yes
8. Bivariate Normal Yes
9. Multiple Regression Yes
10 Multiple Regression in R Yes
11. Multiple Regression in R II Yes
12. The General Linear Hypothesis Yes
13. Types of Predictor Yes
14.Factor Predictors: ExampleYes
15. Parameterization Yes
16. Model Selection Yes
17. The Importance of Model Selection Yes
18. Deletion and Influence Yes


Assignments
  1. Assignment 1 Solutions 1
  2. Assignment 2 Solutions 2
  3. Assignment 3 Solutions 3 R Script  Extra Question
  4. Assignment 4 Solutions 4

Midterm:
  
Knitr files 

.sty style file for .Rnw compilation
  1. Linear Model .Rnw file
  2. Prediction .Rnw file
  3. Prediction (simulation) .Rnw file
  4. Bivariate Normal .Rnw file
  5. Factor Predictors .Rnw file
  6. Removing the Intercept  .Rnw file
  7. Model Selection .Rnw file
  8. The Importance of Selection .Rnw file

  
Exercises
  1. Exercises 1 Solutions 1
  2. Exercises 2 Solutions 2
  3. Exercises 3 Solutions 3
  4. Exercises 4 Solutions 4
  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