Engineering, 18.08.2020 19:01 kkcheers16

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.
b) Interpret the slope and y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice:
For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average.
c) A certain gas-powered car weighs 3700 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?
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?

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

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