The null hypothesis for the test for the model (Section 8.3) does not include the intercept term β0. Give the interpretation of a null hypothesis that did include β0, H0:β0= β1= ... = βm= 0. Explain why this hypothesis would rarely be of interest.
In a data set with 12 observations, you try fitting two regression models. The estimated models are summarized as:
Model 1: Y^ 5 3:5 + 2x; SSR = 20; SSE = 10;
Model 2: Y^ = 3:0 + 1:5x + 0:4x2; SSR = 23; SSE = 7:
(a) Calculate R2for both models.
(b) For both models, test the null hypothesis that all the regression coefficients (other than the intercept) are 0.
(c) Test the null hypothesis that Model 2 is not better than Model 1.
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