The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response why variable is city fuel consumption in miles/gallons. The predictor X variables are weight weight in pounds, DISP engine displacement leaders NHW Y Highway fuel consumption in miles/gallons. It's only one predictor X variable is used to predict the city fuel consumption, which single variable is best? Why? The best variable is (WT/HWY/DISP) because it has the best combination of (large/small) p-value, (answer) and (large/small) adjusted R^2 (answer) (type integers are decimals. Do not round)
The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response why variable is city fuel consumption in miles/gallons. The predictor X variables are weight weight in pounds, DISP engine displacement leaders NHW Y Highway fuel consumption in miles/gallons. It's only one predictor X variable is used to predict the city fuel consumption, which single variable is best? Why? The best variable is (WT/HWY/DISP) because it has the best combination of (large/small) p-value, (answer) and (large/small) adjusted R^2 (answer) (type integers are decimals. Do not round)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
J 1
The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response why variable is city fuel consumption in miles/gallons. The predictor X variables are weight weight in pounds, DISP engine displacement leaders NHW Y Highway fuel consumption in miles/gallons. It's only one predictor X variable is used to predict the city fuel consumption, which single variable is best? Why?
The best variable is (WT/HWY/DISP) because it has the best combination of (large/small) p-value, (answer) and (large/small) adjusted R^2 (answer)
(type integers are decimals. Do not round)
Transcribed Image Text:The best variable is
(Type integers or decimals. Do not round.)
because it has the best combination of
P-value, and
adjusted R²..
Transcribed Image Text:Predictor (x) Variables P-Value R² Adjusted R2
WT/DISP/HWY
0.000 0.942
WT/DISP
0.000 0.747
WT/HWY
DISP/HWY
WT
DISP
HWY
0.000 0.942
0.000 0.935
0.000 0.713
0.658
0.924
0.000
0.000
0.932
0.719
0.936
0.928
0.698
0.640
0.920
Regression Equation
CITY=6.84-0.00135WT-0.254DISP+0.659HWY
CITY 38.3-0.00165WT-1.31DISP
CITY=6.73-0.00165WT+0.671HWY
CITY 1.83-0.622DISP+0.705HWY
CITY 42.2-0.00607WT
CITY=29.2-3.01DISP
CITY-3.13 +0.821HWY
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