The accompanying regression table shows a regression of MSRP (manufacturer\'s su

Question

The accompanying regression table shows a regression of MSRP (manufacturer's suggested retail price) on both Displacement and Bore for off-road motorcycles. Both of the predictors are measures of the size of the engine. The displacement is the total volume of air and fuel mixture that an engine can draw in during one cycle. The bore is the diameter of the cylinders. Complete parts (a) and (b) below Click to view the regression table a) State and test the standard null hypothesis for the coefficient of Bore What are the null and alternative hypotheses? O B. Ho:Poore:0 OD, Ho:Poore #0 Determine the test statistic Type an integer or a decimal.) Determine the P-value P-value (Type an integer or a decimal.) Assu me 0.05 What is the proper conclusion? | Ho There is I evidence that Bore has a coefficient that is b) Both of these predictors seem to be linearly related to MSRP Explain what the result in (a) means. Choose the correct answer below. A. Bore has a coefficient that is clearly different from zero and is significant in predicting MSRP in the multiple regression B. Bore has a coefficient that is clearly different from zero but does not contribute in the multiple regression to predicting MSRP C Although Bore might be individually significant in predicting MSRP n the multiple regression it does not add enough to the model to have a coefficient that is clearly different from zero 0 D. Bore has a coefficient that is not clearly different from zero but does contribute in the multiple regression to predicting MSRP

Explanation / Answer

a) Option B is Correct

Test Statisic will be 1.69 (given)

P value will be 0.0950

Fail to reject H0. There is Insufficient evidence that Bore has a coefficient that is differ from zero

b) Option D is Correct

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