An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data rep

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An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data rep

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An Engineer Wants To Determine How The Weight Of A Gas Powered Car X Affects Gas Mileage Y The Accompanying Data Rep 1
An Engineer Wants To Determine How The Weight Of A Gas Powered Car X Affects Gas Mileage Y The Accompanying Data Rep 1 (81.6 KiB) Viewed 124 times
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 paris (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 two decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fil in any answer boxes in your choice. (Use the answer from part a to find this answer.) ⒸA. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. OB. For every pound added to the weight of the car, gas mileage in the city will decrease by OC. For every pound added to the weight of the car, gas mileage in the city will decrease by OD. It is not appropriate to interpret the slope or the y-intercept (c) A certain gas-powered car weighs 3500 pounds and gets 16 miles per gallon. Is the miles per gallon of this car above average or below average for cars of this weight? mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept O Below O Above (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? O A. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 11. OB. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n=11. OC. Yes, because the hybrid is partially powered by gas. OD. No, because the hybrid is a different type of car. Car Weight and MPG Weight (pounds), x 3751 3862 2767 3554 3399 2875 3679 2511 3519 3698 3277 Print Miles per Gallon, y 17 15 25 18 20 23 16 24 18 16 18 Done D - X
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