Lecture Notes

A list of the notes used for the semester. These are updated as we go. I do my best to ge them to you before class.

  1. Review
  2. Linear Regression Intro
  3. Linear Regression - In Class
  4. Regression Estimates
  5. Least Squares Simulation
  6. Regression Inference
  7. Regression Data Conditions
  8. Bootstrap
  9. Multiple Regression
  10. Regression Categorical
  11. Pairwise Contrasts
  12. Multiple Categorical Predictors
  13. ANCOVA
  14. Pre/Post Designs
  15. Chi-Square