Chapter 7 Linear regression with a single predictor

Learning objectives:

• Introduce regression for a single predictor \(y_i = a + b x_i + \text{error}\)
• 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