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A car salesman is curious if he can predict the fuel efficiency of a car (in MPG) if he knows the fuel capacity of the car (in gallons). He collects data on a variety of makes and models of cars. The scatterplot shows that a linear model is appropriate. SPSS output is provided below.
Use the following information for questions:  A car salesman is curious if he can predict the fuel efficiency of a car (in MPG) if he knows the fuel capacity of the car (in gallons). He collects data on a variety of makes and models of cars. The scatterplot shows that a linear model is appropriate. SPSS output is provided below.        -Suppose Bob's car holds 18 gallons of fuel. Based on the least squares regression line, what is the predicted fuel efficiency for Bob's car? Use the following information for questions:  A car salesman is curious if he can predict the fuel efficiency of a car (in MPG) if he knows the fuel capacity of the car (in gallons). He collects data on a variety of makes and models of cars. The scatterplot shows that a linear model is appropriate. SPSS output is provided below.        -Suppose Bob's car holds 18 gallons of fuel. Based on the least squares regression line, what is the predicted fuel efficiency for Bob's car? Use the following information for questions:  A car salesman is curious if he can predict the fuel efficiency of a car (in MPG) if he knows the fuel capacity of the car (in gallons). He collects data on a variety of makes and models of cars. The scatterplot shows that a linear model is appropriate. SPSS output is provided below.        -Suppose Bob's car holds 18 gallons of fuel. Based on the least squares regression line, what is the predicted fuel efficiency for Bob's car?
-Suppose Bob's car holds 18 gallons of fuel. Based on the least squares regression line, what is the predicted fuel efficiency for Bob's car?

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24.01 mile...

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