14a) Astudy analyzed the influence of car speed (variable 1) on the distances (variable 2) needed to a complete stop. The following linear regression model is fitted to examine the relationship. Coefficients: Estimate Std. Error tvalue Pr(>t) (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 -statistic: 89.57 on 1 and 48 DF. p-value: 1.49e-12 Vhat is the response variable? 14(b) What is the explanatory variable (predictor)? 14(CWhen the car speed increases by 10 mph, what is the expected extra stopping distance needed