Contents

1. Fitting Equations to Data 2. Assumptions in Regression Modeling 3. Prediction and Confidence Intervals in Regression 4. Multiple Regression 5. Collinearity 6. Modeling Categorical Factors with two levels 7. Modeling Categorical Factors with two levels or more levels 8. Summary Regression Case 9. Comparing many mean values 10. Analysis of Variance 11. Modeling Categorical Response 12. Modeling Time Series