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1. ANOVA - 10%
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4. Prepare Inputs for Predictive Model Performance - 20%
5. Measure Model Performance - 25%
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| Section | Objectives |
|---|---|
| ANOVA and General Linear Models | - GLM procedures in SAS - One-way and multi-way ANOVA |
| Model Diagnostics and Validation | - Goodness-of-fit measures - Influence and leverage |
| Logistic Regression | - Model fit and diagnostics - Binary logistic regression |
| Multiple Regression | - Interaction effects - Multicollinearity diagnostics - Model building and selection |
| Simple Linear Regression | - Model assumptions and interpretation - Estimation and inference - Residual analysis |
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