The accompanying table shows results from regressions performed on data from a random sample of 21 ca response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DIS (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). The equation CITY = -3.16 +0.815HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 37 mil/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 valu likely to be very accurate? E Click the icon to view the table of regression equations. The best predicted value of the city fuel consumption is 26.995 mi/gal. (Type an integer or a decimal. Do not round.) The predicted value is not likely to be a good estimate and is not likely to be very accurate because the best equation does not have the largest Adjusted R value. Regression Table Predictor (x) Variables P-Value WT/DISP/HWY R Adjusted R? 0.944 Regression Equation CITY = 6.84 - 0.00127WT - 0.252DISP + 0.651H CITY = 38.5 - 0.00161WT - 1.31DISP 0.000 0.934 WT/DISP 0.000 0.748 0.720 WT/HWY 0.000 0.942 0.936 CITY = 6.75 -0.00161WT + 0.667HWY CITY = 1.88 –0.622DISP+ 0.702HWY CITY = 42.2 –0.00606WT CITY = 29.5-2.97DISP CITY = -3.16 + 0.815HWY DISP/HWY 0.000 0.935 0.928 WT 0.000 0.713 0.698 DISP 0.000 0.659 0.641 HWY 0.000 0.923 0.919 %3D 38,173 APR

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Topic Video
Question
8
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 = -3.16+0.815HWY was previously determined to be the best for predicting city fuel consumption. A car weighs
2700 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 37 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?
E Click the icon to view the table of regression equations.
The best predicted value of the city fuel consumption is 26.995 mi/gal.
(Type an integer or a decimal. Do not round.)
The predicted value is not likely to be a good estimate and is not likely to be very accurate because
the best equation does not have the largest Adjusted R value.
Regression Table
R2
Adjusted R2
0.934
Predictor (x) Variables P-Value
Regression Equation
CITY = 6.84 -0.00127WT - 0.252DISP + 0.651H
CITY = 38.5 -0.00161WT – 1.31DISP
WT/DISP/HWY
0.000
0.944
WT/DISP
0.000
0.748
0.720
WT/HWY
0.000
0.942
0.936
CITY = 6.75 -0.00161WT + 0.667HWY
DISP/HWY
WT
0.000
0.000
0.000
0.935
0.713
0.928
CITY = 1.88 –0.622DISP + 0.702HWY
CITY = 42.2-0.00606WT
CITY = 29.5 - 2.97DISP
CITY = - 3.16+ 0.815HWY
0.698
DISP
0.641
0.919
0.659
HWY
0.000
0.923
38,173
APR
26
MacBook Pro
Q Search securyBrowse
2$
&
3
4
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 = -3.16+0.815HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 37 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? E Click the icon to view the table of regression equations. The best predicted value of the city fuel consumption is 26.995 mi/gal. (Type an integer or a decimal. Do not round.) The predicted value is not likely to be a good estimate and is not likely to be very accurate because the best equation does not have the largest Adjusted R value. Regression Table R2 Adjusted R2 0.934 Predictor (x) Variables P-Value Regression Equation CITY = 6.84 -0.00127WT - 0.252DISP + 0.651H CITY = 38.5 -0.00161WT – 1.31DISP WT/DISP/HWY 0.000 0.944 WT/DISP 0.000 0.748 0.720 WT/HWY 0.000 0.942 0.936 CITY = 6.75 -0.00161WT + 0.667HWY DISP/HWY WT 0.000 0.000 0.000 0.935 0.713 0.928 CITY = 1.88 –0.622DISP + 0.702HWY CITY = 42.2-0.00606WT CITY = 29.5 - 2.97DISP CITY = - 3.16+ 0.815HWY 0.698 DISP 0.641 0.919 0.659 HWY 0.000 0.923 38,173 APR 26 MacBook Pro Q Search securyBrowse 2$ & 3 4
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Knowledge Booster
Algebraic Operations
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman