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
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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
23
Transcribed Image 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?
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps with 2 images
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman