A, B, and C are three explanatory variables in a multiple linear regression with n = 28 cases. The following table shows

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A B And C Are Three Explanatory Variables In A Multiple Linear Regression With N 28 Cases The Following Table Shows 1 (103.29 KiB) Viewed 87 times

A, B, and C are three explanatory variables in a multiple linear regression with n = 28 cases. The following table shows the residual sums of squares and degrees of freedom for all models. 27 26 Model variables None А. B C A,B A,C B,C A,B,C Residual sum Degrees of squares of freedom 8,100 6,240 5,980 26 6,760 26 5,500 25 5,250 25 5,750 25 5,160 24 (a) Based on the criterion of the estimate of o?, which is the best model in the table? Explain why and report the associated estimate of o?. (b) | Based on the criterion of adjusted R2, which is the best model in the table? Explain why and report the associated adjusted RP. (c) Explain why the models selected in parts (a) and (b) should agree. (d) Use forward selection to determine a best model. At each step, perform an extra-sum-of-squares F-test to see whether the additional variable is significant (a = 0.05) and state which variable enters the model at that step.