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