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Regression Analysis on the Oakland a's

In: Business and Management

Submitted By brian2830
Words 556
Pages 3
What Sells Game Tickets? A Quantitative Analysis of
The 1980 Oakland A’s Home Game Day
By
Brian Hunter, M.A.

In 1980, the Oakland A’s came in second place in the Western Division with 83 wins, 79 losses, and 14 games behind the first place Kansas City Royals. Steward Roddey, the general manager, has requested that an analysis be done to examine all the possible factors that could influence home game ticket sales and to gather information on pitcher Mark Nobel to use in negotiations with Mr. Nobel’s agent. Mr. Roddey gathered data (Exhibit 1) on what he believes would fully account for what factors contributed to the sale of home tickets between April and September of 1980. He is interested in how these variables interacted statistically for each game played: Day of the Week (game was played), Team Performance (Rank and Games Behind), Weather (stadium was open-air), Double Headers (6 in all), Starting Times (day or night), Starting Pitcher (especially Mark Nobel), Opponent (13 teams including the Yankees), Televised Home Games, and Game Promotions. Mr. Roddey believes this is an exhaustive list and would like a report on the findings to use for his future business decisions regarding his management of the Oakland A’s and his salary negotiations with pitcher Mark Nobel’s agent. In addressing Mr. Roddey’s ideas about factors that contribute to and are predictive of ticket sales, several Multiple Regressions were calculated. In addition, nominally and categorically listed data was recoded into Dummy Variables so they could be utilized in the regression 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 Noble pitching or not were already recoded and Temperature and...

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