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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
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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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)
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:The best variable is (Type integers or decimals. Do not round.) because it has the best combination of P-value, and adjusted R²..
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
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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