The accompanying data include the engine size or displacement (in liters) and horsepower (HP) of 50 recently sold vehicl
Posted: Mon May 23, 2022 12:26 pm
(they are all incorrect)
The accompanying data include the engine size or displacement (in liters) and horsepower (HP) of 50 recently sold vehicles. Fit a multiple regression with the Log 10 of the combined mileage rating as the response and the Log10 of the weight of the car, the Log 10 of the engine displacement, and the Log10 of the horsepower of the engine as explanatory variables. Complete parts (a) through (c) below. Click the icon to view the vehicle data.
(a) Describe the effects of collinearity on the three estimated coefficients. Which coefficients are most/least influenced by collinearity? The VIF for Logo Weight is 2.80 (Round to two decimal places as needed.) The VIF for Log 10 Displacement is 8.97. (Round to two decimal places as needed.) The VIF for Log 10 HP is 6.10'. (Round to two decimal places as needed.)
Determine the partial slope for Log10 Displacement in the multiple regression. bLog10 Displacement = -0.171' (Round to three decimal places as needed.)
Make a scatterplot of the residuals from the regression of Log 10 MPG on Log10HP and on Log 10 Weight on the residuals from the regression of Log 10 Displacement on the same two explanatory variables. Choose the correct graph below. OB O C. 0.25 0.251 .25- 0.25 HHHH LogMPG resids LogMPG resids LogMPG resids OHHH LogMPG resids -0. 390 -0.25 Disp. resids 6.25 Disp. resids 16.25 Disp. resids L6.35 Disp. resids Fit the simple regression for this scatterplot. Estimated Log10 MPG residual = 0.000'+ ( -0.171) Log10 Displacement residual (Round to three decimal places as needed.)