(All Steps) A consumer organization wants to develop a regression model to predict gasoline mileage (as measured by miles per gallon) based on the horsepower
Question: A consumer organization wants to develop a regression model to predict gasoline mileage (as measured by miles per gallon) based on the horsepower of the car's engine and the weight of the car in pounds. A sample of 15 recent car models was selected and the results are given below.
| MPG | Horsepower | Weight |
| 43.1 | 48 | 1985 |
| 19.9 | 110 | 3365 |
| 19.2 | 105 | 3535 |
| 17.7 | 165 | 3445 |
| 18.1 | 139 | 3205 |
| 20.3 | 103 | 2830 |
| 21.5 | 115 | 3245 |
| 16.9 | 155 | 4360 |
| 15.5 | 142 | 4054 |
| 18.5 | 150 | 3940 |
| 27.2 | 71 | 3190 |
| 41.5 | 76 | 2144 |
| 46.6 | 65 | 2110 |
| 23.7 | 100 | 2420 |
| 27.2 | 84 | 2490 |
- State the multiple regression equation.
- Interpret the meaning of the slopes b 1 and b 2 in this problem.
- Explain why the regression coefficient b 0 has no practical meaning in the context of this problem.
- Predict the mean miles per gallon for cars that have 100 horsepower and weigh 3,000 pounds.
Price: $2.99
Solution: The downloadable solution consists of 3 pages
Deliverable: Word Document 