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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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