Section 5 - Correlation/Regression Analysis. a. Construct a linear regression model with Age as the predictor variable and FEV1 as the response variable. State the equation in correct algebraic format as shown in the course notes.

Dependent Variable: FEV1 Independent Variable: Age FEV1 = 0.44781734 + 0.21945238 Age Sample size: 600 R (correlation coefficient) = 0.74736424 R-sq = 0.5585533 Estimate of error standard deviation: 0.56799502 b. Construct a scatter plot of the data with a plot of the least squares line included. (StatCrunch should have generated this plot when you calculated the model in 5a.) The plot must include an informative title and correct labels for both axes. c. Use the coefficient of determination to identify the percentage of the variation in FEV1 explained by the variation in Age.