SUpesandCar DataWeight Highway FuelConsumption3638413342314028443109287030952915298525633009279824682598255834523514334431462545Print373540383736323938Done-X.75 of 1data set, one gehe best predicted va Using the weights (lb) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation:y = 58.9-0.00749x, where x represents weight. Complete parts (a) through (d).Click the icon to view the car data.The site to your captio V.UVITU.D. The slope is -0.00749 and the y-intercept is 58.9.c. What is the predictor variable?...OA. The predictor variable is highway fuel consumption, which is represented by x.OB. The predictor variable is highway fuel consumption, which is represented by y.C. The predictor variable is weight, which is represented by x.OD. The predictor variable is weight, which is represented by y.d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2994lb?The best predicted value of highway fuel consumption of a car that weighs 2994 lb is(Round to one decimal place as needed.)mi/gal.

C) Solution : We have given the regression equation is y=58.9-0.00749x, where x represents weight.

SU bes and Car Data Weight Highway Fuel Consumption 36 38 41 33 42 31 40 2844 3109 2870 3095 2915 2985 2563 3009 2798 2468 2598 2558 3452 3514 3344 3146 2545 Print 37 35 40 38 37 36 32 39 38 32 Done - X .75 of 1 data set, one ge he best predicted va

SU bes and Car Data Weight Highway Fuel Consumption 36 38 41 33 42 31 40 2844 3109 2870 3095 2915 2985 2563 3009 2798 2468 2598 2558 3452 3514 3344 3146 2545 Print 37 35 40 38 37 36 32 39 38 32 Done - X .75 of 1 data set, one ge he best predicted va

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.2: Representing Data

Problem 2BGP

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Question

SU
pes
and
Car Data
Weight Highway Fuel
Consumption
36
38
41
33
42
31
40
2844
3109
2870
3095
2915
2985
2563
3009
2798
2468
2598
2558
3452
3514
3344
3146
2545
Print
37
35
40
38
37
36
32
39
38
Done
-
X
.75 of 1
data set, one ge
he best predicted va

Using the weights (lb) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation:
y = 58.9-0.00749x, where x represents weight. Complete parts (a) through (d).
Click the icon to view the car data.
The site to your captio V.UVITU.
D. The slope is -0.00749 and the y-intercept is 58.9.
c. What is the predictor variable?
...
OA. The predictor variable is highway fuel consumption, which is represented by x.
OB. The predictor variable is highway fuel consumption, which is represented by y.
C. The predictor variable is weight, which is represented by x.
OD. The predictor variable is weight, which is represented by y.
d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2994
lb?
The best predicted value of highway fuel consumption of a car that weighs 2994 lb is
(Round to one decimal place as needed.)
mi/gal.

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