The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000- seat arena that is home to the city's professional basketball and ice hockey teams and that hosts a variety of concerts, trade shows, and conventions throughout the year. The hotel has experienced the following occupancy rates for the past 9 years, since the coliseum opened. Compute an exponentially smoothed forecast with an a value of .20. According to the result from Excel and/or POM-QM, the forecast for the year 5 would be (type number only, two decimals) Year Occupancy Rate (%) 1 2 3 4 5 6 7 8 83 78 75 81 86 85 89 90 86

The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000- seat arena that is home to the city's professional basketball and ice hockey teams and that hosts a variety of concerts, trade shows, and conventions throughout the year. The hotel has experienced the following occupancy rates for the past 9 years, since the coliseum opened. Compute an exponentially smoothed forecast with an a value of .20. According to the result from Excel and/or POM-QM, the forecast for the year 5 would be (type number only, two decimals) Year Occupancy Rate (%) 1 2 3 4 5 6 7 8 83 78 75 81 86 85 89 90 86

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...

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The Bayside Fountain Hotel is adjacent to County Coliseum, a 24,000-seat arena that is home tothe city’s professional basketball and ice hockey teams and that hosts a variety of concerts, tradeshows, and conventions throughout the year. The hotel has experienced the following occupancyrates for the past 9 years, since the coliseum opened:Year Occupancy Rate (%)1 832 783 754 815 866 857 898 909 86 Compute an exponential smoothing forecast with a = .20, an adjusted exponential smoothingforecast with a = .20 and B=30 and a linear trend line forecast. Compare the three forecasts,using MAD and average error ( ), and indicate which seems to be most accurate.
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