14a)Astudy analyzed the influence of car speed ariable 1) on the distances (variable 2) needer a complete stop. The following linear regression model is fitted to examine the relationship. Coefficients: Estimate Std. Error tvalue Pr(>t) (Intercept)-175791 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?

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23 B

14a)A study analyzed the influence of car speed Variable 1) an the distances (variable 2) needed to
a complete stop. The following linear regression model is fitted to examine the relationship.
Coefficients:
Estimate Std. Error t value Pr(>t)
(Intercept) -175791 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:149e-12
What 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
to a complete stop?
Transcribed Image Text:14a)A study analyzed the influence of car speed Variable 1) an the distances (variable 2) needed to a complete stop. The following linear regression model is fitted to examine the relationship. Coefficients: Estimate Std. Error t value Pr(>t) (Intercept) -175791 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:149e-12 What 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 to a complete stop?
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