preview

Binomial Regression Of Binomial Logistic Regression Essay

Decent Essays

Binomial Logistic Regression Analysis
A binomial logistic regression was performed because the dependent variable was a dummy variable with a score of 1 given to countries that won the bidding process and 0 given to countries who lost. We included a grouping dummy variable to represent our axis point for the data which is the year 2008. Events that took place from 1996-2006 were given a value of 0 and events that took place from 2008-2022 were given a value of 1. We then took this grouping variable and multiplied it by each of our independent variables to form interaction terms that show us how the trends in these variables have shifted after 2008.

Mega Events from 1996-2006 (Pre 2008)
Table 12 shows a model summary of the logistic regression. This summary determines how much of the variance in the dependent variable can be explained by the variance in the independent variables. Based on the Nagelkerke R Square value of 0.405, it can be assumed that 40.5% of the variance in the outcome of mega event bidding can be explained by the variance in the independent variables we chose to study. This number is lower than ideal for any regression, but is expected due to the human error in an arbitrary decision process surrounding who is chosen to host a mega event. Other variables that are unable to be quantified or are not publicly disclosed such as the effectiveness of a bidding countries’ persuasion of the IOC or FIFA, or the personal relationships members of the governing

Get Access