2. Occupancy vs Revenue * A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms 500 occupied on a nightly basis and the revenue per day in the restaurant. They collect a sample of 25 days (Monday through 1450 Restaurant Income Thursday) from last year and record the restaurant income and the number of rooms occupied. Summary results and a 1400 scatterplot of the data are shown below. Rooms Occupied: mean = 36.42, sd = 12.245 1350 Restaurant Income: mean = 1435.56, sd = 42.795 20 30 40 50 80 r =.423 Rooms Occupied a. Using the scatter plot, describe the relationship between rooms occupied and restaurant income. b. Use the summary statistics to calculate the equation of the ordinary least-squares regression line between x = rooms occupied and y = restaurant income. Rooms Occupied: mean = 36.42, sd = 12.245 Restaurant Income: mean = 1435.56, sd = 42.795, r = .423 Equation