The accompanying table shows results from regressions performed on data from a random sample of 21 ca response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DIS (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). The equation CITY = -3.16 +0.815HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 37 mil/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 valu likely to be very accurate? E Click the icon to view the table of regression equations. The best predicted value of the city fuel consumption is 26.995 mi/gal. (Type an integer or a decimal. Do not round.) The predicted value is not likely to be a good estimate and is not likely to be very accurate because the best equation does not have the largest Adjusted R value. Regression Table Predictor (x) Variables P-Value WT/DISP/HWY R Adjusted R? 0.944 Regression Equation CITY = 6.84 - 0.00127WT - 0.252DISP + 0.651H CITY = 38.5 - 0.00161WT - 1.31DISP 0.000 0.934 WT/DISP 0.000 0.748 0.720 WT/HWY 0.000 0.942 0.936 CITY = 6.75 -0.00161WT + 0.667HWY CITY = 1.88 –0.622DISP+ 0.702HWY CITY = 42.2 –0.00606WT CITY = 29.5-2.97DISP CITY = -3.16 + 0.815HWY DISP/HWY 0.000 0.935 0.928 WT 0.000 0.713 0.698 DISP 0.000 0.659 0.641 HWY 0.000 0.923 0.919 %3D 38,173 APR
The accompanying table shows results from regressions performed on data from a random sample of 21 ca response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DIS (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). The equation CITY = -3.16 +0.815HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2700 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 37 mil/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 valu likely to be very accurate? E Click the icon to view the table of regression equations. The best predicted value of the city fuel consumption is 26.995 mi/gal. (Type an integer or a decimal. Do not round.) The predicted value is not likely to be a good estimate and is not likely to be very accurate because the best equation does not have the largest Adjusted R value. Regression Table Predictor (x) Variables P-Value WT/DISP/HWY R Adjusted R? 0.944 Regression Equation CITY = 6.84 - 0.00127WT - 0.252DISP + 0.651H CITY = 38.5 - 0.00161WT - 1.31DISP 0.000 0.934 WT/DISP 0.000 0.748 0.720 WT/HWY 0.000 0.942 0.936 CITY = 6.75 -0.00161WT + 0.667HWY CITY = 1.88 –0.622DISP+ 0.702HWY CITY = 42.2 –0.00606WT CITY = 29.5-2.97DISP CITY = -3.16 + 0.815HWY DISP/HWY 0.000 0.935 0.928 WT 0.000 0.713 0.698 DISP 0.000 0.659 0.641 HWY 0.000 0.923 0.919 %3D 38,173 APR
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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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 mi/gal). The equation
CITY = -3.16+0.815HWY was previously determined to be the best for predicting city fuel consumption. A car weighs
2700 lb, it has an engine displacement of 1.5 L, and its highway fuel consumption is 37 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?
E Click the icon to view the table of regression equations.
The best predicted value of the city fuel consumption is 26.995 mi/gal.
(Type an integer or a decimal. Do not round.)
The predicted value is not likely to be a good estimate and is not likely to be very accurate because
the best equation does not have the largest Adjusted R value.
Regression Table
R2
Adjusted R2
0.934
Predictor (x) Variables P-Value
Regression Equation
CITY = 6.84 -0.00127WT - 0.252DISP + 0.651H
CITY = 38.5 -0.00161WT – 1.31DISP
WT/DISP/HWY
0.000
0.944
WT/DISP
0.000
0.748
0.720
WT/HWY
0.000
0.942
0.936
CITY = 6.75 -0.00161WT + 0.667HWY
DISP/HWY
WT
0.000
0.000
0.000
0.935
0.713
0.928
CITY = 1.88 –0.622DISP + 0.702HWY
CITY = 42.2-0.00606WT
CITY = 29.5 - 2.97DISP
CITY = - 3.16+ 0.815HWY
0.698
DISP
0.641
0.919
0.659
HWY
0.000
0.923
38,173
APR
26
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