Book Content
chapters • 14h4m total length
1. Getting Started with Regression
2. Basic Concepts – Simple Linear Regression
3. More Than Just One Predictor – MLR
4. When the Response Falls into Two Categories – Logistic Regression
5. Data Preparation Using R Tools
6. Avoiding Overfitting Problems - Achieving Generalization
7. Going Further with Regression Models
8. Beyond Linearity – When Curving Is Much Better
9. Regression Analysis in Practice
