The hypothesis for checking significance of bore in predicting MSRP is,
H0 : 1 = 0 v/s H1 : 1 not equal to 0
P-value Ford bore is 0.0974
Hence p-value >
Hence we fail to reject H0.
There is insufficient evidence that bore has different coefficient different then zero.
Option C is correct.
Bore has a coefficient that is clearly different from zero but does not contribute in multiple regression for predicting MSRP.
(as the test has failed to reject H0 which means bore is not significant for predicting MSRP)
of the The companying regressione whows a regression of MSRP manufacturer's suggested retail prices on both...
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. Determine the test statistic. T = ____________ Determine the P-value. P- Value = ____________ Assume α = 0.05. What...
SUMMARY OUTPUT Regression Statistics Multiple R 0.9448 R2 0.8927 Adj. R2 0.8853 SY.X 133.14 N 32 ANOVA df SS MS F P-value Regression 2 4277160 2138580 120.6511 0.0000 Residual 29 514034.5 17725.33 Total 31 4791194 Coeff. Std. Err. t Stat P-value Lower 95% Upper 95% Intercept -1336.72 173.3561 -7.71084 0.0000 -1691.2753 -982.16877 X1 12.7362 0.90238 14.114 0.0000 10.890623 14.5817752 X2 85.81513 8.705757 9.857286 0.0000 68.009851 103.620414 With respect to the null hypothesis for...