Suppose you used StatCrunch to fit the model y = b0 + b1x1 + b2x2 + e to n = 15 data points and obtained the printout shown below.

a. What is the least squares prediction equation?

b. Find R2 and interpret its value.

c. Is there sufficient evidence to indicate that the model is useful for predicting y? Conduct an F-test using a = .05.

d. Test the null hypothesis H0: b1 = 0 against the alternative hypothesis Ha: b1 ≠ 0. Test using a = .05. Draw the appropriate conclusions.

e. Find the standard deviation of the regression model and interpret it.