Date of Graduation
Master of Education in Recreation and Sport Management (MEd)
Health, Human Performance and Recreation
Dr. Stephen W. Dittmore
Dr. Gregory M. Benton
Second Committee Member
Dr. Gary W. Ritter
Social sciences; FBS football revenue; Football revenue; Football revenue predictors
College football, specifically the Football Bowl Subdivision, is an ever growing industry. As revenues continue to rise, it is important to be able to predict these revenues. A series of correlations and least square analysis were run on data from 2007-2011 to test their significance to football revenue. The analysis found strong correlations between all-time wins and all-time bowl appearances, average attendance, and historical grade. Strong correlations are seen between all-time bowl appearances and average attendance, historical grade, and recent grade. Strong correlations are seen between wins from 2007-2011 and recent grade. Strong correlations are seen between average attendance and historical grade and recent grade. The overall regression model with average revenue as the dependent variable was significant. However, only three variables, National Championship Grade, AP-Poll grade and average attendance were significant. National Championship Grade and average attendance were significant at the 0.01 level while AP-Poll grade was significant at the 0.05 level. The overall models for dollar change and percent change in revenue were not significant. A second regression model used historical and recent grades as variables as well as four environmental variables. The overall model was significant. However, only average attendance had significance at the 0.01 level.
Redd, Hayden, "Examining the Predictors of FBS Football Revenue" (2013). Theses and Dissertations. 972.