Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9 -0.00749x, where x represents weight. Complete parts (a) through (d) A Click the icon to view the car data b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0 007499. O B. The slope is -0.00749 and the y-intercept is 58.9. OC. The slope is 58.9 and the y-intercept is - 0.00749 O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? OA. The predictor variable is highway fuel consumption, which is represented by x. O B. The predictor variable is weight, which is represented by x OC. The predictor variable is weight, which is represented by y OD. The predictor variable is highway fuel consumption, which is represented by y d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2986 Ib7 The best predicted value of highway fuel consumption of a car that weighs 2986 lb ismigal Pend to one decimal nlace as needed)
Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9 -0.00749x, where x represents weight. Complete parts (a) through (d) A Click the icon to view the car data b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is 0 007499. O B. The slope is -0.00749 and the y-intercept is 58.9. OC. The slope is 58.9 and the y-intercept is - 0.00749 O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? OA. The predictor variable is highway fuel consumption, which is represented by x. O B. The predictor variable is weight, which is represented by x OC. The predictor variable is weight, which is represented by y OD. The predictor variable is highway fuel consumption, which is represented by y d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2986 Ib7 The best predicted value of highway fuel consumption of a car that weighs 2986 lb ismigal Pend to one decimal nlace as 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%
Transcribed Image Text:Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9-0.00749x, where x represents weight Complete parts (a)
through (d).
Click the icon to view the car data.
東
b. What are the specific values of the slope and y-intercept of the regression line?
O A. The slope is 58.9 and the y-intercept is 0.007499.
B. The slope is -0.00749 and the y-intercept is 58.9.
O C. The slope is 58.9 and the y-intercept is -0.00749.
O D. The slope is 0.00749 and the y-intercept is 58.9.
c. What is the predictor variable?
O A. The predictor variable is highway fuel consumption, which is represented by x.
B. The predictor variable is weight, which is represented by x.
O C. The predictor variable is weight, which is represented by y
O D. The predictor variable is highway fuel consumption, which is represented by y.
d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2986 lb?
mi/gal.
The best predicted value of highway fuel consumption of a car that weighs 2986 lb is
(Round to one decimal place as needed.)
Statcrunch
O Type here to search
hp
?
米
f4
f5
ho
f12
delete
esc
144
insert
prt sc
$
4
8.
backspace
home
E
R
Y
tab
pg up
A
D
H.
J.
K
caps lock
enter
pause
shift 1
C
t shift
Σ
%24
23
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