1. Introduction
2. Statistical Tables
3. The hsb2 Dataset
4. About Summation Signs
5. Simple Linear Regression
6. Simple Linear Regression Example
7. Regression Without Predictors
8. Regression Assumptions
9. Predicted Scores, Residuals and Other Goodies
10. A Derivation
11. Prediction Practice: Part 1
12. Multiple Linear Regression
13. "Three Regressions" in Concert
14. Prediction Practice: Part 2
15. Data Transformation
16. Regression Diagnostics
17. Index Plots
18. Dichotomous Predictors
19. Product Variables and Interactions
20. Multiple Regression Session
21. Collinearity
22. Selection and Prediction
23. Problems with Stepwise Regression
24. Cross Validation
25. Polynomial Regression
26. Partial and Semipartial Correlation
27. Comparing Regression Models
28. b vs β
29. Categorical Predictors
30. Prediction Practice: Part 3
31. Ordinal Predictor Variables
32. Interactions with Categorical Predictors
33. Centering
34. Some Scaling Issues
35. Analysis of Covariance
36. Aptitude Treatment Interaction
37. Logistic Regression
38. Robust Regression
39. Path Analysis
40. Linear Structural Models
41. Specification Error
42. Regression with Clustered Data
43. Multilevel Data Issues
44. Regression with Measurement Error
45. Nonlinear Regression
46. Weighted Least Squares
47. Regression Analysis in Publications
48. The Regression Zoo
49. The Matrix
50. Generalized Linear Models

Advanced