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 milgal). 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 V because it has the best combination of V Pvalue,and adjusted R. (Type integers or decimals. Do not round.)

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Chapter1: Starting With Matlab
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Adjusted R2
0.933
0.721
Regression Equation
CITY = 6.82 - 0.00132WT - 0.252DISP + 0.656HWY
R2
Predictor (x) Variables P-Value
WT/DISP/HWY
0.000
0.943
WT/DISP
0.000
0.749
CITY = 37.5-0.00158WT - 1.32DISP
WT/HWY
0.000
0.941
0.934
CITY = 6.67 - 0.00158WT +0.668HWY
DISP/HWY
0.927
CITY = 1.86 - 0.627DISP +0.702HWY
CITY = 41.6 -0.00603WT
0.000
0.934
WT
0.000
0.713
0.698
DISP
0.000
0.659
0.641
CITY = 28.5 - 2.97DISP
HWY
0.000
0.925
0.921
CITY = -3.12+0.822HWY
Transcribed Image Text:Adjusted R2 0.933 0.721 Regression Equation CITY = 6.82 - 0.00132WT - 0.252DISP + 0.656HWY R2 Predictor (x) Variables P-Value WT/DISP/HWY 0.000 0.943 WT/DISP 0.000 0.749 CITY = 37.5-0.00158WT - 1.32DISP WT/HWY 0.000 0.941 0.934 CITY = 6.67 - 0.00158WT +0.668HWY DISP/HWY 0.927 CITY = 1.86 - 0.627DISP +0.702HWY CITY = 41.6 -0.00603WT 0.000 0.934 WT 0.000 0.713 0.698 DISP 0.000 0.659 0.641 CITY = 28.5 - 2.97DISP HWY 0.000 0.925 0.921 CITY = -3.12+0.822HWY
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). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why?
E Click the icon to view the table of regression equations.
The best variable is
because it has the best combination of
V P-value.
V adjusted R2,N.
and
(Type integers or decimals. Do not round.)
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). If only one predictor (x) variable is used to predict the city fuel consumption, which single variable is best? Why? E Click the icon to view the table of regression equations. The best variable is because it has the best combination of V P-value. V adjusted R2,N. and (Type integers or decimals. Do not round.)
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