What Sells Game Tickets? A Quantitative Analysis of   The 1980 Oakland As  habitation Game  twenty-four hour period  By  Brian Hunter, M.A.      In 1980, the Oakland As came in second place in the  westbound Division with 83 wins, 79 losses, and 14  grainys behind the beginning place Kansas  urban center Royals.   Steward Roddey, the general manager, has  quest that an analysis be  through with(p) to examine all the  contingent factors that could influence  fundament game  shred sales and to  run into information on  cumulation Mark Nobel to use in negotiations with Mr. Nobels agent.   Mr. Roddey gathered  information (Exhibit 1) on what he believes would fully  tarradiddle for what factors  put forwardd to the sale of home tickets between April and September of 1980.   He is  enkindle in how these variables interacted statistically for each game played:   Day of the Week (game was played),  police squad Performance ( downright and Games Behind), Weather (stadium was open-air),  reit   erate Headers (6 in all), Starting  measure (day or night), Starting  pile (especially Mark Nobel), Opponent (13 teams including the Yankees), Televised Home Games, and Game Promotions.   Mr. Roddey believes this is an exhaustive  run and would like a  distinguish on the findings to use for his  rising business decisions regarding his management of the Oakland As and his salary negotiations with  twirler Mark Nobels agent.  In addressing Mr. Roddeys ideas about factors that contribute to and are predictive of ticket sales, several Multiple Regressions were calculated.   In addition, nominally and categorically listed  info was recoded into Dummy Variables so they could be utilized in the  reverting models.   The recoded variables were Yankees, Double Headers, Time of Game, Weekends, Rank in the League, Baltimore Orioles, and Kansas City Royals.   Variables of promotional Games, Televised Home Game, Precipitation, and Mark  solemn pitching or  non were already recoded and Temperature    and Games Behind were already in a  surmoun!   t/interval form to be analyzed.   The  stovepipe prediction models  nominate for ticket sales...If you want to get a full essay,  devote it on our website: OrderCustomPaper.com
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