An engineer wants to determine how the weight of a gas powere year Complete parts (a) through (d) below E Cick here to view the weight and gas mileage data and their miles per gallon in the city for the mast recent model Car weight and MPG (a) Find the least-squares regression line treating weight as the Weight (pounds), x Miles per Gallon, y 3670 18 (Round the x coefficient to five decimal places as needed Roun 3853 16 (b) Interpret the slope and y-ntercept, if appropriate. Choose the (Use the answer from part a to find thes answer) 2621 3460 3233 26 19 OA For every pound added to the weight of the car, gas mile 22 intercept 2867 24 OB Aweightless car will get miles per gallon, on averag 3683 16 2548 25 OC For every pound added to the weight of the car, gas mile r gallon, on average 3489 19 OD. It is not appropriate to interpret the slope or the y-interce 3761 16 (C)A certain gas-powered car weghs 3643 pounds and gets 17 ht? The estimated average miles per gallon for cars of this weight is (Round to three decimal places as needed) Print Done (d) Would it be reasonable to use the least-squares regression Statcrunch Next

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s and their miles per gallon in the city for the most recent model
An engineer wants to determine how the weight of a gas-powere
year. Complete parts (a) through (d) below.
E Click here to view the weight and gas mileage data.
Car weight and MPG
(a) Find the least-squares regression line treating weight as the
Weight
(pounds), x
Miles per
Gallon, y
ý=x+ ()
(Round the x coefficient to five decimal places as needed. Roun
3670
18
3853
16
(b) Interpret the slope and y-intercept, if appropriate. Choose the
(Use the answer from part a to find this answer.)
2621
26
3460
19
O A. For every pound added to the weight of the car, gas mile
3233
22
-intercept.
2867
24
O B. A weightless car will get
miles per gallon, on average
3683
16
2548
25
O C. For every pound added to the weight of the car, gas mile
er gallon, on average.
3489
19
O D. It is not appropriate to interpret the slope or the y-interce
3761
16
(c) A certain gas-powered car weighs 3643 pounds and gets 17 r
ht?
The estimated average miles per gallon for cars of this weight is
(Round to three decimal places as needed.).
Print
Done
(d) Would it be reasonable to use the least-squares regression li
Statcrunch
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Transcribed Image Text:s and their miles per gallon in the city for the most recent model An engineer wants to determine how the weight of a gas-powere year. Complete parts (a) through (d) below. E Click here to view the weight and gas mileage data. Car weight and MPG (a) Find the least-squares regression line treating weight as the Weight (pounds), x Miles per Gallon, y ý=x+ () (Round the x coefficient to five decimal places as needed. Roun 3670 18 3853 16 (b) Interpret the slope and y-intercept, if appropriate. Choose the (Use the answer from part a to find this answer.) 2621 26 3460 19 O A. For every pound added to the weight of the car, gas mile 3233 22 -intercept. 2867 24 O B. A weightless car will get miles per gallon, on average 3683 16 2548 25 O C. For every pound added to the weight of the car, gas mile er gallon, on average. 3489 19 O D. It is not appropriate to interpret the slope or the y-interce 3761 16 (c) A certain gas-powered car weighs 3643 pounds and gets 17 r ht? The estimated average miles per gallon for cars of this weight is (Round to three decimal places as needed.). Print Done (d) Would it be reasonable to use the least-squares regression li Statcrunch Next 8:01 SAMSUNG esc DII %23 $ % & backspace 1 2 3 4 7 tab *00
An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model
year. Complete parts (a) through (d) below.
Click here to view the weight and gas mileage data.
(a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable.
y=x+)
(Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)
(b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice.
(Use the answer from part a to find this answer.)
O A. For every pound added to the weight of the car, gas mileage in the city will decrease by
mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept.
O B. A weightless car will get
miles per gallon, on average. It is not appropriate to interpret the slope.
mile(s) per gallon, on average. A weightless car will get
miles per gallon, on average.
O C. For every pound added to the weight of the car, gas mileage in the city will decrease by
O D. It is not appropriate to interpret the slope or the y-intercept.
(c) A certain gas-powered car weighs 3643 pounds and gets 17 miles per gallon. Is the miles per gallon of this car above average or below average for cars of this weight?
miles per gallon. The miles per gallon of this car is
average for cars of this weight.
The estimated average miles per gallon for cars of this weight is
(Round to three decimal places as needed.)
(d) Would it be reasonable to use the least-squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not?
Next
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Transcribed Image Text:An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. Click here to view the weight and gas mileage data. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. y=x+) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.) (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. (Use the answer from part a to find this answer.) O A. For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept. O B. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. O C. For every pound added to the weight of the car, gas mileage in the city will decrease by O D. It is not appropriate to interpret the slope or the y-intercept. (c) A certain gas-powered car weighs 3643 pounds and gets 17 miles per gallon. Is the miles per gallon of this car above average or below average for cars of this weight? miles per gallon. The miles per gallon of this car is average for cars of this weight. The estimated average miles per gallon for cars of this weight is (Round to three decimal places as needed.) (d) Would it be reasonable to use the least-squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not? Next Statcrunch 1 8:02 SAMSUNG esc & backspace 23 1 4 7 * 00
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