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| Section | Objectives |
|---|---|
| Simple Linear Regression | - Estimation and inference - Residual analysis - Model assumptions and interpretation |
| Multiple Regression | - Interaction effects - Model building and selection - Multicollinearity diagnostics |
| Model Diagnostics and Validation | - Influence and leverage - Goodness-of-fit measures |
| ANOVA and General Linear Models | - One-way and multi-way ANOVA - GLM procedures in SAS |
| Logistic Regression | - Binary logistic regression - Model fit and diagnostics |
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