Question: The Department of Sports Medicine at Wilmington College in Ohio is interested in seeing if oxygen consumption (ml per kg of body weight per minute) can be predicted by multiple independent variables: age (measured in years), weight (measured in kg), and time to run 1.5 miles (measured in minutes). They have analyzed the data and performed multiple regression analysis. Answer the questions that follow.

(a) Is the overall model significant at the 1% level of significance? What in the output tells you this? Be specific.

(b) In multiple regression, what does it mean when we say “the overall model is significant”?

(c) Are there any variables in the model that are not significant at the 1% level of significance? If so, which ones? What in the output tells you this? Be specific.

(d) What is the regression equation?

(e) What is the predicted oxygen consumption when age is 15 years, weight is 68.2 kg, and the time to run 1.5 miles is 8.25 minutes?