Suppose you fit the first-order model y=0+1x1+2x2+3x3+4x4+5x5+ to n=30 data points and obtain SSE =0.33 and R2=0.91. Complete parts a and b. a. Do the values of SSE and R2 suggest that the model provides a good fit to the data? Explain. A. Yes. Since R2=0.91 is close to 1 , this indicates the model provides a good fit. Also, SSE =0.33 is fairly small, which indicates the model provides a good fit. B. There is not enough information to decide. C. No. Since R2=0.91 is close to 1 , this indicates the model does not provide a good fit. Also, SSE =0.33 is fairly small, which indicates the model does not provide a good fit. b. Is the model of any use in predicting y? Test the null hypothesis H0:1=2==5=0 against the alternative hypothesis: At least one of the parameters 1,2,,5 is nonzero. Use =0.05. The test statistic is (Round to two decimal places as needed.)