Suppose you fit the first-order model y = b0 + b1 x1 + b2 x2 + b3 x3 + b4 x4 + b5 x5 + e to n = 27 data points and obtain SSE = .33 R2

= .92

a. Do the values of SSE and R2 suggest that the model provides a good fit to the data? Explain.

b. Is the model of any use in predicting y? Test the null hypothesis H0: b1 = b2 = g= b5 = 0 against the alternative hypothesis: At least one of the parameters b1, b2, g, b5 is nonzero. Use a = .10.