14(a) A study analyzed the influence of car speed (variable 1) an the distances (variable 2) needed a complete stop. The following linear regression model is fitted to examine the relationship. Coefficients: Estimate Std. Error tvalue Pr(>It) (Intercept)-17.5791 6.7584 -2.601 0.0123 3.9324 0.4155 9.464 1.49e-12 ** Signif. codes: 0*** 0.001 ** 0.01* 0.05 .0.1 1 Residual standard error: 15.38 on 48 degrees of freedom Multiple R-squared: 0.6511. Adjusted R-squared: 0.6438 F-statistic: 89.57 on 1 and 48 DF. p-value: 1.49e-12 14(d) When the car speed is 30 mph, what is the expected distance to a complete stop? 14(e) We want to test He: B =0 vs H : B, # 0. Based on the output, do you reject Ho a level a = 0.05? O Yes ONo 14() Find the proportion of response variation explained by the model.