Chapter 7 Linear regression with a single predictor
Learning objectives:
- Introduce regression for a single predictor yi=a+bxi+error
- Demonstrate the steps of fitting, plotting and interpreting the fit.
- Learn to check the procedure using fake-data simulation
- Learn how regression includes simple comparison as a simple case