Motorcycles, part 2.

In Exercise 41, we saw data on offroad motorcycles and examined scatterplots. Review those scatterplots. Here’s a regression of MSRP on both Displacement and Bore. 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.

a) State and test the standard null hypothesis for the coefficient of Bore.

b) Both of these predictors seem to be linearly related to MSRP. Explain what your result in part a means.

Transcribed Image Text:

Dependent variable is: MSRP R squared 77.0% s = 979.8 with 98 Variable R squared (adjusted) = 76.5% 3 95 degrees of freedom Intercept Bore Displacement Coeff 318.352 41.1650 6.57069 SE (Coeff) t-ratio P-value 1002 0.318 0.7515 25.37 1.62 0.1080 3.232 2.03 0.0449