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At the University of Wyoming, home games played by the men's basketball team generated significant revenues for the Athletics Department through ticket and concession sales.

At the University of Wyoming, home games played by the men's basketball team generated significant revenues for the Athletics Department through ticket and concession sales. With the 2009-10 season ending, it was time to forecast revenues for the upcoming season. Even though ticket prices were already set, providing a revenue forecast was difficult, as the schedule of home games for the 2010-11 season was unknown, and both ticket and concession sales for each game were uncertain.

Assignment Imagine that you have been hired as a consultant for Bill Sparks, the Senior Associate Director of Business Operations for the Athletics Department. To help him and the University of Wyoming predict revenues for the coming year, you will need to answer the questions below. After performing the necessary analyses, prepare a short write-up that addresses the questions. The write-ups will be evaluated on their content and presentation, including logic, organization, grammar, and spelling.

Questions 1. Use simple linear regression to develop two models: one for predicting ticket sales and one for predicting concession sales. 2. Develop 3 simulation models to predict total revenue for a single 16-game season. One variable in your simulations should be the team's win percentage. Use Nave, Moving average, Weighted Moving Average(0.7, 0,2 0.2 and 0.1 respectively) and compare the models. The simulation models should be entered into a spreadsheet to facilitate multiple replications.

Opponent Single Game Tickets Sold Concession Revenues Single Game Tickets Revenues
Saturday November 04, 2006 Non-Conference 1,704 3,158 20,448
Tuesday November 07, 2006 Non-Conference 716 1,839 8,592
Saturday November 11, 2006 Non-Conference 1,218 5,768 14,616
Wednesday November 15, 2006 Non-Conference 1,083 4,117 12,996
Saturday November 18, 2006 Non-Conference 1,755 5,246 21,060
Wednesday November 29, 2006 Non-Conference 909 2,583 10,908
Wednesday December 06, 2006 Non-Conference 1,107 3,687 13,284
Saturday December 16, 2006 Non-Conference 909 4,766 10,908
Wednesday January 10, 2006 Conference 2,581 4,776 30,972
Saturday January 13, 2007 Conference 3,694 8,222 44,328
Wednesday January 24, 2007 Conference 3,462 8,652 41,544
Saturday January 27, 2007 Conference 2,474 8,908 29,688
Tuesday February 06, 2007 Conference 1,879 5,290 22,548
Saturday February 17, 2007 Conference 2,778 7,365 33,336
Wednesday February 21, 2007 Conference 1,297 5,214 15,564
Saturday March 03, 2007 Conference 2,380 6,487 28,560
Saturday November 03, 2007 Non-Conference 995 3,201 11,940
Tuesday November 06, 2007 Non-Conference 717 2,330 8,604
Saturday November 10, 2007 Non-Conference 1,266 3,424 15,192
Monday November 26, 2007 Non-Conference 1,615 2,714 19,380
Saturday December 08, 2007 Non-Conference 1,469 3,392 17,628
Saturday December 29, 2007 Non-Conference 1,033 3,132 12,396
Monday December 31, 2007 Non-Conference 688 1,509 8,256
Saturday January 05, 2007 Conference 941 3,181 11,292
Wednesday January 16, 2008 Conference 1,095 2,848 13,140
Saturday January 26, 2008 Conference 1,894 5,050 22,728
Saturday February 02, 2008 Conference 1,853 5,598 22,236
Wednesday February 06, 2008 Non-Conference 660 1,616 7,920
Wednesday February 13, 2008 Conference 601 1,961 7,212
Tuesday February 19, 2008 Conference 757 2,490 9,084
Saturday February 23, 2008 Conference 1,411 4,284 16,932
Saturday March 01, 2008 Conference 1,664 4,857 19,968
Friday Novembe 07, 2008 Non-Conference 941 2,102 11,292
Friday November 14, 2008 Non-Conference 839 2,384 10,068
Wednesday November 19, 2008 Non-Conference 3,084 2,714 37,008
Saturday November 22, 2008 Non-Conference 1,559 3,144 18,708
Wednesday November 26, 2008 Non-Conference 593 2,642 7,116
Saturday November 29, 2008 Non-Conference 937 3,718 11,244
Tuesday December 16, 2008 Non-Conference 522 1,838 6,264
Saturday December 20, 2008 Non-Conference 635 4,083 7,620
Wednesday January 14, 2009 Conference 1,723 4,968 20,676
Saturday January 24, 2009 Conference 3,172 6,879 38,064
Tuesday January 27, 2009 Conference 987 2,100 11,844
Saturday February 07, 2009 Conference 1,995 5,658 23,940
Wednesday February 18, 2009 Conference 855 2,374 10,260
Saturday February 21, 2009 Conference 1,953 5,674 23,436
Wednesday March 04, 2009 Conference 2,235 6,262 26,820
Saturday March 07, 2009 Conference 2,972 7,624 35,664
Saturday November 07, 2009 Non-Conference 2,273 3,504 27,276
Friday November 13, 2009 Non-Conference 1,534 2,879 18,408
Wednesday November 18, 2009 Non-Conference 729 1,958 8,748
Saturday November 21, 2009 Non-Conference 1,483 3,204 17,796
*Friday November 27, 2009 Non-Conference 742 2,355 8,904
*Saturday November 28, 2009 Non-Conference 652 1,759 7,824
*Sunday November 29, 2009 Non-Conference 488 1,521 5,856
Saturday December 05, 2009 Non-Conference 2,446 2,058 29,352
Sunday December 20, 2009 Non-Conference 515 3,733 6,180
Wednesday December 30, 2009 Non-Conference 599 2,201 7,188
Saturday January 02, 2010 Non-Conference 652 2,526 7,824
Wednesday January 06, 2010 Conference 583 2,064 6,996
Saturday January 09, 2010 Conference 1,012 3,745 12,144
Saturday January 16, 2010 Conference 2,327 6,716 27,924
Wednesday January 27, 2010 Conference 1,009 2,730 12,108
Wednesday February 03, 2010 Conference 897 2,036 10,764
Saturday February 13, 2010 Conference 1,519 4,558 18,228
Saturday February 20, 2010 Conference 1,335 2,429 16,020
Tuesday March 02, 2010 Conference 707 1,624 8,484
Annual data for the Previous Four Seasons
season Year No. of Season Tickets sold Win Percentage
2006-2007 2006 4,088 0.619
2007-2008 2007 4,120 0.4
2008-2009 2008 3,844 0.643
2009-2010 2009 3,819 0.323

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