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1. ANOVA - 10%
2. Linear Regression - 20%
3. Logistic Regression - 25%
4. Prepare Inputs for Predictive Model Performance - 20%
5. Measure Model Performance - 25%
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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: Prepare Inputs for Predictive Model Performance | 20% | - Data Preparation
|
| Topic 2: Logistic Regression | 25% | - Develop Logistic Models
|
| Topic 3: Linear Regression | 20% | - Build Regression Models
|
| Topic 4: ANOVA | 10% | - ANOVA Concepts and Assumptions
|
| Topic 5: Measure Model Performance | 25% | - Validation and Selection
|
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