The University of Wyoming Mens Basketball Team Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

University of Wyoming Men’s Basketball Team

Introduction:

The report presents a case about The University of Wyoming Men’s Basketball Team, which generates significant amount of revenues through ticket and concession team of its athletics department. As long as the 2009-10 season ends, the management was concerned about the forecasted revenue of the upcoming season and was also concerned about setting ticket prices for the home games of the intercollegiate team.

1. Variables affecting sales and concession sales

If we look at the previous year’s data then it can be clearly seen that demand of tickets vary from year to year and its really very difficult to produce an accurate number of tickets forecast and concession sales. They are dependent on the following variables:

a) Days of the week:

Usually peoples love to enjoy their weekends by going outside to main events like basketball, football or any other exciting sports rather than on working days; therefore, it is one of the variables that may affect the demand of tickets.

b) Type of Opponent:

UW Men’s Basketball team competes in Mountain West Conference (MWC) and it can also host additional games against team other than its own conference. By looking at the historical trend, it can be clearly seen that demand of tickets are much higher in case of matches between Conference Opponents as compared to Non-Conference Opponent. The reason behind this is that in case of Conference Opponent where UW is an opponent itself; the passion of crowd is much higher as compared to watch it hosting some other conference matches. So it is another variable that affects the demand of ticket.

c) Performance of UW Team:

Performance of Team is another variable that affect the demand for tickets. It is obvious that through good performance UW Team will be able to motivate its followers even more; which will increase the demand for tickets.

2. Multiple Regression Analysis

Regression Analysis is the statistical tool that is used to measure the relationship between the independent and dependent variables.

a) Predicting Ticket Sales:

The regression analysis involved in predicting sales defines the significance level that how much one variable is dependent on the other independent variable. By developing the regression model by using the case data, it is telling that the P value is less than 5%. The P value tells that the ticket sale is dependent on any changes that occur in the ticket sales, which will also change the ticket revenue. On the other hand, the coefficient tells that only the change that can bring a difference in the ticket revenue will be the variation in the sale of tickets while other variables remain constant.

b) Concession Sales:

The concession revenue is dependent on the sale of ticket and any change in ticket sale will reduce the concession revenue. If the ticket sales increase then the concession revenue will also increase. It also defines that during the regression model calculation performed by using the ticket sales as independent variable and concession revenue as dependent variable. In the analysis, the P value is lower than 5% significance level; which explains the dependability of concession revenue on the sale of tickets.

3. Simulation model using winning Percentage as variable:

In the simulation model, the win percentage of the UW men’s basket ball team is 61.9% and by using this winning percentage the revenue will increase up to $48,378 for the year 2011 by charging the $164 price. ......................

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At the University of Wyoming, the home games played men's basketball team generated significant revenue for athletics department through ticket and concession sales. With the end of the 2009-2010 season, it's time to predict revenue for the upcoming season. Although the prices of the tickets have already been installed, providing the revenue forecast was difficult, as the schedule home games in the 2010-2011 season was not yet known, and both the ticket and concession sales for each game was uncertain. "Hide
by John G. Wilson, Craig Sorochuk Source: Richard Ivey School of Business Foundation 4 pages. Publication Date: October 7, 2011. Prod. #: W11334-PDF-ENG

The University of Wyoming Men's Basketball Team Case Study Solution