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Predictive Modeling Using Logistic Regression Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Logistic Regression | 25% | - Develop Logistic Models
|
| Topic 2: Measure Model Performance | 25% | - Model Assessment
|
| Topic 3: Prepare Inputs for Predictive Model Performance | 20% | - Variable Engineering and Screening
|
| Topic 4: ANOVA | 10% | - ANOVA Analysis
|
| Topic 5: Linear Regression | 20% | - Interpret Regression Results
|
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