Assume that management expects to sell $10,800$ room

nights in a month when the average daily high outdoor

temperature is expected to be $78$ degrees. Predict

the hotel's occupancy costs for the month using the

output for the multiple regression that you created for

Grand. $($Round all amounts used in your calculations to

two decimal places.$)$

A$.$ $$365,379$

B$.$ $$1,021,076$

C$.$ $$10,368$

D$.$ $$379,901$

Between the simple linear regression and the multiple

regression that you created for Grand, which regression

model is a better predictor of monthly occupancy costs?

How do you know?