Use the following multiple regression table to answer thefollowing questions:
| Daily Demand | High Temperature | Price | Day | | |
| 144 | 73 | $Â Â Â Â 1.00 | 1 | | |
| 90 | 64 | $Â Â Â Â 1.00 | 0 | | 0 = Weekend |
| 108 | 73 | $Â Â Â Â 1.00 | 1 | | 1 = Weekday |
| 120 | 82 | $Â Â Â Â 1.00 | 1 | | |
| 54 | 45 | $Â Â Â Â 1.20 | 0 | | |
| 69 | 54 | $Â Â Â Â 1.20 | 1 | | |
| 126 | 86 | $Â Â Â Â 1.20 | 1 | | |
| 99 | 70 | $Â Â Â Â 1.20 | 0 | | |
| 48 | 73 | $Â Â Â Â 1.50 | 0 | | |
| 33 | 66 | $Â Â Â Â 1.50 | 0 | | |
| 90 | 75 | $Â Â Â Â 1.50 | 1 | | |
| 81 | 61 | $Â Â Â Â 1.50 | 1 | | |
1. What is the Y-intercept for the output of the data?
2. What is the R^2 of the data?
3. What is the adjusted R^2?
4. What is the high temperature coefficient of the output?
5. What is the price coefficient?
6. What is the Day Coefficient of the output, if the day is aweekday?
7. Using the data output, Calculate demand for burritos on a daythat is 75 degrees, the price is $1.10...and it is a weekend.
8. Using the data output, Calculate demand for burritos on a daythat is 75 degrees, the price is $1.10...and it is a weekday.
9. Using the data output, Calculate demand for burritos on a daythat is 85 degrees, the price is $1.05...and it is a weekend.
10. Using the data output, Calculate demand for burritos on aday that is 85 degrees, the price is $1.05...and it is aweekday.
