313 Lecture Slides
An Introduction to Regression and Correlation
A Minimal Introduction to Matrix Algebra
Matrix Algebra in R
Matrix Algebra of Sample Statistics
Simple Linear Regression
Expected Value Theory
Multiple Regression
Venn Diagrams as a Conceptual Aid
Evaluating Regression Results
Weighting and Lack of Fit in Regression
Polynomials and Factors
Regression Models and Factor Analysis
Transformations
Spline Regression
Regression Diagnostics: Residuals
Outliers and Influence
Variable Selection (ALR Table 10.7) stepwise.txt mydata.xls
Nonlinear Regression
Logistic Regression (chdage.txt)
Poisson Regression (ceb.dat)
Modeling Overdispersion (burglary.txt)
Student Presentations