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MLB regression analysis data. Data Log(Attendance) = B1wins + B2FCI + B3tktprice +
B4payroll + B5state + B6earnspop In order to explain ...
... In 1998, MLB Commissioner Bud Selig formed a ... Regression analysis results were obtained
using the least squares method in the Data Analysis tool within ...
... has the most wins out of the MLB data set, and ... When looking at the base data we are
to conclude ... Regression Hypothesis Test Regression Analysis r² 0.454 n 4 r ...
... the least squares method in the Data Analysis tool within ... and an estimated simple
linear regression equation of ... see attached chart entitled 2004 MLB Total Team ...
... Analysis of Wage Discrimination in Major League Baseball ... result suggests discrimination
in the MLB league. ... ß5 Slugging +u Table 6 Regression Coefficients and ...
Submitted by fozmoney on April 23, 2007
Category: Business
Words: 1171 | Pages: 5
Views: 232
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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 data for each team's average attendance for 2003-2005 from an internet site entitled www.baseballreference.com. The summary statistics for this variable show that the mean winning percentage for all MLB teams is 50.4 percent with a standard deviation of 7.6 percent. There is a minimum and maximum of 27 percent and 65 percent respectively. I am taking the log of attendance in order to explain relationships with the independent variables in the form of percent changes in our dependent variable.
The main independent variable that I am going to be looking at, as stated above is winning percentage, and its effects on a team's attendance. I feel that winning percentage is positively related to attendance as a team with a higher winning percentage will be more likely to attract fans than a team with a low winning percentage. Fans want to see their teams perform well during the season and are therefore more likely to attend games when their team does so. I obtained my data for attendance from a site entitled www.baseballreference.com. The total attendance over the time period of 2003-2005 was 2,395,300 with a standard error of 686,650. There was a minimum attendance of 749,550 and a maximum...
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