The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). The equation CITY= -3.17+0.823HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.6 L, and its highway fuel consumption is 35 mi/gal. What is the best predicted value of the city fuel consumption? Is that predicted value likely to be a good estimate? Is that predicted value likely to be very accurate? Click the icon to view the table of regression equations. The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) Regression Table ... Predictor (x) Variables P-Value WT/DISP/HWY WT/DISP WT/HWY DISP/HWY WT DISP HWY R² Adjusted R² 0.000 0.942 0.000 0.748 0.720 0.000 0.942 0.936 0.000 0.934 0.927 CITY=1.81-0.628DISP+0.708HWY 0.000 0.713 0.698 CITY 42.3-0.00609WT 0.000 0.659 0.641 CITY=28.7-3.03DISP 0.000 0.923 0.919 CITY - 3.17+0.823HWY Regression Equation 0.932 CITY=6.85-0.00133WT-0.251DISP+0.657HWY Print CITY=37.6-0.00158WT-1.34DISP CITY=6.68 -0.00158WT+0.673HWY Done - X
The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). The equation CITY= -3.17+0.823HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.6 L, and its highway fuel consumption is 35 mi/gal. What is the best predicted value of the city fuel consumption? Is that predicted value likely to be a good estimate? Is that predicted value likely to be very accurate? Click the icon to view the table of regression equations. The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) Regression Table ... Predictor (x) Variables P-Value WT/DISP/HWY WT/DISP WT/HWY DISP/HWY WT DISP HWY R² Adjusted R² 0.000 0.942 0.000 0.748 0.720 0.000 0.942 0.936 0.000 0.934 0.927 CITY=1.81-0.628DISP+0.708HWY 0.000 0.713 0.698 CITY 42.3-0.00609WT 0.000 0.659 0.641 CITY=28.7-3.03DISP 0.000 0.923 0.919 CITY - 3.17+0.823HWY Regression Equation 0.932 CITY=6.85-0.00133WT-0.251DISP+0.657HWY Print CITY=37.6-0.00158WT-1.34DISP CITY=6.68 -0.00158WT+0.673HWY Done - X
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
Transcribed Image Text:The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x)
variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). The equation CITY - 3.17 +0.823HWY was previously determined to be
the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.6 L, and its highway fuel consumption is 35 mi/gal. What is the best predicted value of the city
fuel consumption? Is that predicted value likely to be a good estimate? Is that predicted value likely to be very accurate?
Click the icon to view the table of regression equations.
The best predicted value of the city fuel consumption is
(Type an integer or a decimal. Do not round.).
Regression Table
I
R² Adjusted R2
WT/DISP
WT/HWY
Predictor (x) Variables P-Value
WT/DISP/HWY
0.000 0.942
0.000 0.748
0.000 0.942
0.000 0.934
0.000 0.713
0.000 0.659
0.000 0.923
DISP/HWY
WT
DISP
HWY
Regression Equation
CITY=6.85-0.00133WT-0.251DISP+0.657HWY
0.932
0.720
0.936
0.927
0.698
0.641 CITY = 28.7-3.03DISP
0.919 CITY - 3.17 +0.823HWY
CITY=42.3-0.00609WT
Print
CITY=37.6-0.00158WT-1.34DISP
CITY=6.68 -0.00158WT +0.673HWY
CITY = 1.81-0.628DISP+0.708HWY
Done
-
X
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!
Step 1: Describe the given information
VIEWStep 2: Calculate the best predicted value of the city fuel consumption
VIEWStep 3: Determine whether the predicted value is likely to be a good estimate or not
VIEWStep 4: Determine whether the predicted value is likely to be very accurate or not
VIEWSolution
VIEW
Trending now
This is a popular solution!
Step by step
Solved in 5 steps with 20 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