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 +0.818HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.9 L, and its highway fuel consumption is 31 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 (Type an integer or a decimal. Do not round.) The predicted value V likely to be a good estimate and likely to be very accurate because

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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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 +0.818HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.9 L,
and its highway fuel consumption is 31 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
(Type an integer or a decimal. Do not round.)
The predicted value
V likely to be a good estimate and
likely to be very accurate because
Enter your answer in the answer box.
5,981
étv 4
G
MacBook Pro
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 +0.818HWY was previously determined to be the best for predicting city fuel consumption. A car weighs 2740 lb, it has an engine displacement of 1.9 L, and its highway fuel consumption is 31 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 (Type an integer or a decimal. Do not round.) The predicted value V likely to be a good estimate and likely to be very accurate because Enter your answer in the answer box. 5,981 étv 4 G MacBook Pro
he icon to view the table of regression equations.
The best predicted
Regression Table
(Type an integer of
The predicted valu
Predictor (x) Variables P-Value
R2
Adjusted R2
0.943
Regression Equation
CITY = 6.82-0.00127WT – 0.256DISP + 0.653HWY
CITY = 38.5 -0.00156WT -1.26DISP
WT/DISP/HWY
0.000
0.933
WT/DISP
0.000
0.748
0.720
WT/HWY
0.000
0.942
0.936
CITY = 6.75 -0.00156WT +0.672HWY
DISP/HWY
0.000
0.934
0.927
CITY = 1.88 –0.622DISP + 0.702HWY
WT
0.000
0.711
0.696
CITY = 41.5 -0.00605WT
DISP
0.000
0.659
0.925
0.641
CITY = 29.5 -3.01DISP
HWY
0.000
0.921
CITY = - 3.14 +0.818HWY
Print
Done
Enter your answer in the answer box.
5,981
DEC
10
tv
W
X
MacBook Pro
Transcribed Image Text:he icon to view the table of regression equations. The best predicted Regression Table (Type an integer of The predicted valu Predictor (x) Variables P-Value R2 Adjusted R2 0.943 Regression Equation CITY = 6.82-0.00127WT – 0.256DISP + 0.653HWY CITY = 38.5 -0.00156WT -1.26DISP WT/DISP/HWY 0.000 0.933 WT/DISP 0.000 0.748 0.720 WT/HWY 0.000 0.942 0.936 CITY = 6.75 -0.00156WT +0.672HWY DISP/HWY 0.000 0.934 0.927 CITY = 1.88 –0.622DISP + 0.702HWY WT 0.000 0.711 0.696 CITY = 41.5 -0.00605WT DISP 0.000 0.659 0.925 0.641 CITY = 29.5 -3.01DISP HWY 0.000 0.921 CITY = - 3.14 +0.818HWY Print Done Enter your answer in the answer box. 5,981 DEC 10 tv W X MacBook Pro
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