Date of Graduation

12-2013

Document Type

Thesis

Degree Name

Master of Education in Recreation and Sport Management (MEd)

Degree Level

Graduate

Department

Health, Human Performance and Recreation

Advisor/Mentor

Dittmore, Stephen W.

Committee Member

Benton, Gregory M.

Second Committee Member

Ritter, Gary W.

Keywords

Social sciences; FBS football revenue; Football revenue; Football revenue predictors

Abstract

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.

Download

Share

COinS