Oakland a's

What Sells Game Tickets? A quantitative Analysis of The 1980 Oakland As habitation Game Day By Brian Hunter, M.A. In 1980, the Oakland As came in second place in the Western Division with 83 wins, 79 losses, and 14 grainys behind the first place Kansas urban center Royals. Steward Roddey, the public manager, has requested that an analysis be through with(p) to examine on the whole the possible factors that could influence commode game shred sales and to gather entropy on cumulation coiffe Nobel to social function in negotiations with Mr. Nobels agent. Mr. Roddey gathered information (Exhibit 1) on what he believes would amply account for what factors contributed to the sale of legal residence tickets between April and September of 1980. He is interested in how these variables interacted statistically for each game play: Day of the Week (game was played), legal philosophy squad Performance (Rank and Games Behind), withstand (stadium was open-air), Double Headers (6 in all), starting signal measure (day or night), start Pitcher (especially Mark Nobel), contrary (13 teams including the Yankees), Televised Home Games, and Game Promotions. Mr. Roddey believes this is an consummate(a) list and would like a distinguish on the findings to use for his future business decisions regarding his worry of the Oakland As and his pay negotiations with pitcher Mark Nobels agent.

In addressing Mr. Roddeys ideas well-nigh factors that contribute to and are prophetical of ticket sales, several denary Regressions were calculated. In addition, nominally and flatly listed info was recoded into Dummy Variables so they could be utilized in the reverting models. The recoded variables were Yankees, Double Headers, judgment of conviction of Game, Weekends, Rank in the League, Baltimore Orioles, and Kansas metropolis Royals. Variables of promotional Games, Televised Home Game, Precipitation, and Mark Noble pitching or non were already recoded and Temperature and Games Behind were already in a keep down/interval form to be analyzed. The best prediction models form for ticket sales...If you want to chafe a full essay, make it on our website: Orderessay

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