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....

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Extracted text: 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. Emor t value 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 What is the response variable? 14(b) What is the explanatory variable (predictor)? 14CWhen the car speed increases by 10 mph, what is the expected extra stopping distance needed to a complete stop?