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5) Create scatter plot of the data, using the car weights as the predictor variable. Include the regression line in the scatter plot. (2 points)

5) Create scatter plot of the data, using the car weights as the predictor variable. Include the regression line in the scatter plot. (2 points)

6) Find the equation of the regression line. (2 points)

7) Find the correlation coefficient of the data. (1 point)

8) Would it be appropriate to use the regression line to predict the gas mileage of a car weighing 9000 pounds? If yes, what is the predicted gas mileage? If no, why not? (2 points)

Data

Car Weight (pounds) Gas Mileage (miles per gallon)
2560 25
2740 25
3610 22
3225 29
2895 25
2615 27
3110 20
3320 20
3215 23
3555 19
3270 21
3465 19
3465 19
3530 21
3600 19
3835 18
4085 15
4415 16
4170 18
4180 16
4095 17

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