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MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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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 milgal). If only one
predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why?
Click the icon to view the table of regression equations.
The best variable is HWY because it has the best combination of large P-value,
and small adjusted R2,
(Type integers or decimals. Do not round.)
1.
Regression Table
Adjusted R2
0.942
0.748
0,941
0.936
0.713
0.659
0.923
Regression Equation
CITY= 6.82-0.00127WT - 0.259DISP +0.659HWY
CITY= 38.2-0.00156WT -1.31DISP
CITY= 6.67-0.00156WT +0.667HWY
CITY = 1.85 -0.622DISP + 0.706HWY
CITY = 41.8-0,00608WT
CITY = 28.8- 3.05DISP
CITY = -3.15 +0.821HWY
R2
Predictor (x) Variables | P-Value
WT/DISP/HWY
WT/DISP
WT/HWY
DISP/HWY
WT
0.000
0.932
0.000
0.720
0.934
0.929
0.000
0.000
0.000
0.000
0.000
0.698
0.641
0.919
%3D
ary
DISP
HWY
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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 milgal). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why? Click the icon to view the table of regression equations. The best variable is HWY because it has the best combination of large P-value, and small adjusted R2, (Type integers or decimals. Do not round.) 1. Regression Table Adjusted R2 0.942 0.748 0,941 0.936 0.713 0.659 0.923 Regression Equation CITY= 6.82-0.00127WT - 0.259DISP +0.659HWY CITY= 38.2-0.00156WT -1.31DISP CITY= 6.67-0.00156WT +0.667HWY CITY = 1.85 -0.622DISP + 0.706HWY CITY = 41.8-0,00608WT CITY = 28.8- 3.05DISP CITY = -3.15 +0.821HWY R2 Predictor (x) Variables | P-Value WT/DISP/HWY WT/DISP WT/HWY DISP/HWY WT 0.000 0.932 0.000 0.720 0.934 0.929 0.000 0.000 0.000 0.000 0.000 0.698 0.641 0.919 %3D ary DISP HWY Print Done ess Enter your Clear All Check Answer tions All parts showing SAMSUNG
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