Case Study 4-4 Creating a New Measure of Offensive Performance Using Multiple Regression
- Multiple linear regression
- Root MSE (mean square error)
- Least squares criterion
Case Study 4-5 How important is a Run?
- Nonlinear regression
- Transformation
- "The Pythagorean Method" - suggested by Bill James (see Pythagwonloss_paper.pdf for more details)
- Residuals
Case Study 4-6 Baseball Players Regress to the Mean
- Least-squares regression
- Prediction
Case Study 4-7 The 2000 Dinger Drop-off