Monday, December 23, 2019

Mlb Regression Analysis Data - 1212 Words

Data Log(Attendance) = B1wins + B2FCI + B3tktprice + B4payroll + B5state + B6earnspop In order to explain the effect that winnings percentage has on attendance, I have created an adjusted economic model that I have specified above. In order to test my economic model, I have compiled data for each of the variables specified in the model from the years 2003 to 2005. The question that I will be answering in my regression analysis is whether or not wins have an affect on attendance in Major League Baseball (MLB). I want to know whether or not wins and other variables associated with attendance have a positive impact on a team s record. The y variable in my analysis is going to be attendance for each baseball team. I collected the†¦show more content†¦Payroll is another variable that I will be taking into consideration while doing my regression analysis. I feel that payroll can have an effect on attendance if a team spends more money on popular players. These players will be able to attract more fans to the games. Therefore, the more a team spends on its players the more fans they will be able to attract. I will be obtaining this data from www.baseballreference.com. The average payroll from 2003-2005 for a team was $70,974,000. The standard deviation of this variable is $31,463,000. The minimum payroll was $19,630,000 and the ma ximum was $208,310,000. I will be using a dummy variable in my analysis that I feel can have an impact on attendance. This variable is whether or not the team shares its state with another baseball team. There will be an obvious negative effect on attendance if there is more than one MLB team in a given state. A zero is going to represent a team that is the only team in their state and a 1 will represent a team who shares its state with one or more teams. The data for this dummy variable will come from www.rodneyfort.com/SportsData. 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