A manager of a hotel chain was interested in investigating if there is a relationship between monthly labor hours and the number of beds occupied in the hotel. 17 of the hotels in the chain across the country were selected. For each of these hotels, the monthly labor hours required during the month of July and the number of bed days occupied for that month was collected (a hotel has occupied one 'bed day' if one bed is 'unoccupied for an entire day). The manager is interested in seeing if the labor hours (y-variable) required can be predicted from the number of bed days occupied (x-variable) on a monthly basis. The sample data were analyzed in Excel. Included below is part of the regression analysis output. The sample data were analyzed in Excel. Included below is part of the regression analysis output. SUMMARY OUTPUT Regnmion Statistica Mutiple R 0.965992834 R Square 0.972181809 Adjusted R. Square 0.970327327 Standard Error 967.8414089 Observations 17 ANOVA Regression Residual Total 15 SS 480947920 MS. 480947920 5242106783 Significance E 4.410825-13 Intercept Bed Days 13781902 47 917400.1648 10 404703872 4 Coefficients Standard Fr Balue 19 28.105881 319 0303754 0.088090104 0.930905829 1.117389432 0.048803236 22.83677801 4.410825.13 According to this regression analysis, what is the predicted number of monthly labor hours required for a hotel with 3000 bed days for the month?