A consumer organization wants to develop a regression model to predict gasoline mileage (as measured
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 |
a. State the multiple regression equation.
b. Interpret the meaning of the slopes b1 and b2 in this problem.
c. Explain why the regression coefficient b0 has no practical meaning in the context of this problem.
d. Predict the mean miles per gallon for cars that have 100 horsepower and weigh 3,000 pounds.
Price: $2.99
Answer: The solution consists of 2 pages
Type of Deliverable: Word Document![](/images/msword.png)
Type of Deliverable: Word Document
![](/images/msword.png)