Exercise Prescription Case Study Analysis
Simulation of 100Season
Forecastrevenue for the future season using a winning percentage of 50%;it is assumed that a total of 16 matches will be conducted in the future 100 seasons, eight matches will be held with the conference team as an opponent and eight against the non-conference team. It can be seen through analyzing the revenues on the basis of the 100 seasons that the revenue of the team is dependent upon the performance of the team. Moreover, in order to forecastincome of the 100 seasons; it is assumed that 947 tickets will be sold for eight conference games and 1173 tickets will be sold for matches against the non-conference teams. The hypothesis related to the number of tickets sold is based on the average tickets sold last year. Based on the assumptions and data used; it is predicted that the total revenue from ticket sales and concession sales will be $197140.8 in the upcoming 100 seasons.With current ticket price of $12;the data on the simulation for 100 seasons can be seen in the excel file.
Q No. 5
Random Winningpercentages
The winning ratio and total income from ticket and concession sales have a linear relationship, which shows that the variable plays a dynamic role in the revenue projection. The revenue generation process has been determined by using a simulation model for different seasons. Therefore, in order to project revenue; random win percentages are used to evaluate the effect of changes in winning percentages on the revenue of the tickets. In addition, the win percentage of 0.5 i.e. the average winning ratio of teams in the last four seasons is used. The income has been projected for the upcoming 100 seasons using a ticket price of $12 and assuming there will be 16 games in every season. The results of the simulation indicate that the revenues in a season are increasing as a result of the increased winning ratio of teams in that particular season. As a result of incorporating random winning percentages in the simulation, the average total revenue amounting to $197140.8isforecasted.
Conclusion
In any case, the outcomes from the two models clearly show that the tickets are changing due to the changing patterns in incomes, because of the business operations. Along these lines, it is also prescribed that UW group should concentrate more on the anticipated profits by adding the number of tickets through individual diversion competitions, which would allow the expansion of the winning rate later on, because more practice would build the abilities to achieve the desired quantity of revenues consistently.One of the major sources of revenue for the athletic department at the University OfWyoming (UW) was ticket and concession sales generated through matches and other sporting games held by the university. Therefore, the senior director of the athletic department had to report the forecasted revenue generated through these games.However, there were many factors that affected the sales of the tickets and ultimately revenue, as the revenues were dependent on three variables, which are: day of the game, opponent and winning ratio i.e. performance of the team...................................
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