Problem 2. Cady Herring, the F&B director, of 300 room Lohan Hotel uses the following regression equations for forecasting number of meals sold based on the number of in-house guests: Y= 60+0.39X (Breakfast) Y= 220+ 0.27X (Lunch) Y= 485+0.36X (Dinner) Average check is expected to be as follows: Breakfast: $7.50 Lunch: $11.00 Dinner: $14.00 Assuming the occupancy percentage is expected to be 87% with average occupancy of 2 guests per room,

q1. What is the expected total number of rooms sold?

261

361

362

262

q2. What is the expected total number of guests in house (X)?

422

432

532

522

q3. What is the forecast for the number of meals sold for breakfast?

262.88

263.58

261.58

262.58

q4. What is the forecasted total breakfast revenue?

1985.58

1975.58

1986.85

1976.85

q5. What is the forecast for the number of meals sold for lunch?

350.94

360.94

380.94

370.94

q6. What is the forecasted total lunch revenue?

3974.34

3972.34

3973.34

3970.34

q7. What is the forecast for the number of meals sold for dinner?

682.92

692.92

672.92

662.92

q8. What is the forecasted total dinner revenue?

9120.88

9320.88

9420.88

9220.88

q9. How many independent variable/s are used for each of these regression equations?

4

3

2

1