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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 represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year Comple parts (a) through (d) below. CITIE (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable ŷ=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.) OA. For every pound added to the weight of the car, gas mileage in the city will decrease by OB. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. 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 mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. OC. No, because a hybrid gas and electric car is a different type of car OD. Yes, because a hybrid gas and electric car is partially powered by gas. mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept (c) A certain gas-powered car weighs 3578 pounds and gets 17 miles per gallon. Is the miles per gallon of this car above average or below average for cars average for cars of this weight. The estimated average miles per gallon for cars of this weight is miles per gallon. The miles per gallon of this car 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? OA. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10. OB. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10 this weight?

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 Comple parts (a) through (d) below. CITIE (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable ŷ=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.) OA. For every pound added to the weight of the car, gas mileage in the city will decrease by OB. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. 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 mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. OC. No, because a hybrid gas and electric car is a different type of car OD. Yes, because a hybrid gas and electric car is partially powered by gas. mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept (c) A certain gas-powered car weighs 3578 pounds and gets 17 miles per gallon. Is the miles per gallon of this car above average or below average for cars average for cars of this weight. The estimated average miles per gallon for cars of this weight is miles per gallon. The miles per gallon of this car 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? OA. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10. OB. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10 this weight?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 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. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ŷ=x+ 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 OB. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. 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 3578 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? mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. C. No, because a hybrid gas and electric car is a different type of car. OD. Yes, because a hybrid gas and electric car is partially powered by gas. mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept. O A. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10. OB. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10.
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. (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ŷ=x+ 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 OB. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. 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 3578 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? mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. C. No, because a hybrid gas and electric car is a different type of car. OD. Yes, because a hybrid gas and electric car is partially powered by gas. mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept. O A. Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n = 10. OB. No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of n = 10.
Car Weight and MPG Weight (pounds), x 3728 3891 2671 3469 3285 2964 3727 2700 3385 3878 Miles per Gallon, y 18 17 24 18 20 23 16 23 20 16 X
Transcribed Image Text:Car Weight and MPG Weight (pounds), x 3728 3891 2671 3469 3285 2964 3727 2700 3385 3878 Miles per Gallon, y 18 17 24 18 20 23 16 23 20 16 X
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