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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 mi/gal). The equation CITY = -3.14+0.816HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 40 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? Click the icon to view the table of regression equations. Regression Table The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) Predictor (x) Variables P-Value R2 WT/DISP/HWY 0.000 0.943 WT/DISP 0.000 0.748 WT/HWY 0.000 0.942 0.000 0.935 0.000 0.711 0.000 0.658 0.000 0.923 DISP/HWY WT DISP HWY Adjusted R² Regression Equation 0.933 CITY=6.82-0.00126WT-0.255DISP+0.657HWY 0.720 0.936 0.928 0.696 0.640 0.919 CITY=38.2-0.00161WT-1.27DISP CITY=6.66-0.00161WT+0.666HWY CITY=1.86-0.621DISP+0.704HWY CITY=41.7-0.00601WT CITY=29.5-2.99DISP CITY=-3.14+0.816HWY

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 = -3.14+0.816HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 40 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? Click the icon to view the table of regression equations. Regression Table The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) Predictor (x) Variables P-Value R2 WT/DISP/HWY 0.000 0.943 WT/DISP 0.000 0.748 WT/HWY 0.000 0.942 0.000 0.935 0.000 0.711 0.000 0.658 0.000 0.923 DISP/HWY WT DISP HWY Adjusted R² Regression Equation 0.933 CITY=6.82-0.00126WT-0.255DISP+0.657HWY 0.720 0.936 0.928 0.696 0.640 0.919 CITY=38.2-0.00161WT-1.27DISP CITY=6.66-0.00161WT+0.666HWY CITY=1.86-0.621DISP+0.704HWY CITY=41.7-0.00601WT CITY=29.5-2.99DISP CITY=-3.14+0.816HWY

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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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 = -3.14 +0.816HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 40 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? Click the icon to view the table of regression equations. Regression Table The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) Predictor (x) Variables WT/DISP/HWY WT/DISP WT/HWY DISP/HWY WT DISP HWY P-Value R² 0.000 0.943 0.000 0.748 0.000 0.942 0.000 0.935 0.000 0.711 0.000 0.658 0.000 0.923 Adjusted R² 0.933 0.720 0.936 0.928 0.696 0.640 0.919 Print Regression Equation CITY=6.82 -0.00126WT-0.255DISP+ 0.657HWY CITY = 38.2 -0.00161WT - 1.27DISP CITY = 6.66 -0.00161WT +0.666HWY CITY = 1.86 -0.621DISP+ 0.704HWY CITY = 41.7 -0.00601WT CITY = 29.5-2.99DISP CITY 3.14 +0.816HWY Done
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 = -3.14 +0.816HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 40 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? Click the icon to view the table of regression equations. Regression Table The best predicted value of the city fuel consumption is (Type an integer or a decimal. Do not round.) Predictor (x) Variables WT/DISP/HWY WT/DISP WT/HWY DISP/HWY WT DISP HWY P-Value R² 0.000 0.943 0.000 0.748 0.000 0.942 0.000 0.935 0.000 0.711 0.000 0.658 0.000 0.923 Adjusted R² 0.933 0.720 0.936 0.928 0.696 0.640 0.919 Print Regression Equation CITY=6.82 -0.00126WT-0.255DISP+ 0.657HWY CITY = 38.2 -0.00161WT - 1.27DISP CITY = 6.66 -0.00161WT +0.666HWY CITY = 1.86 -0.621DISP+ 0.704HWY CITY = 41.7 -0.00601WT CITY = 29.5-2.99DISP CITY 3.14 +0.816HWY Done
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