1. Use a linear regression model to make a prediction, being careful about extrapolation. 1. Understand what is meant by a least-squares regression model. 1. Interpret the coefficient of determination (r²). 2. Calculate and interpret a residual. 2. Use a residual plot to determine if a linear regression model is appropriate. 3. Interpret the slope and y-intercept of a linear regression model.