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Essay Forecasting Problem

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Forecasting Problem

POM Software:

For this part of the problem I need to use the POM software:

1. Forecasting.
2. I should select Module->Forecasting->File->New->Least Squares and multiple regression
3. Use the module to solve the Case Study (Southwestern University). this case study, I am are required to build a forecasting model. Assume a linear regression forecasting model and build a model for each of the five games (five models in total) by using the forecasting module of the POM software.
4. Answer the three discussion questions for the case study except the part requiring me to justify the forecasting technique, as linear regression would be used.

Discussion Questions
1. Develop a forecasting model, justifying …show more content…

Pitterno had wanted dormitories solely for his athletes in the stadium as an additional feature of any expansion.
SWU's president, Dr. Joel Wisner, decided it was time for his vice president of development to forecast when the existing stadium would "max out." The expansion was, in his mind, a given. But Wisner needed to know how long he could wait. He also sought a revenue projection, assuming an average ticket price of $20 in 2006 and a 5% increase each year in future prices.

Southwestern University Football Game Attendance, 2000-2005

2000
GAME
ATTENDEES OPPONENT

1 34,200 Baylor
2 a 39,800 Texas
3 38,200 LSU
4b 26,900 Arkansas
5 35,100 USC

2001
GAME
ATTENDEES OPPONENT
1 36,100 Oklahoma
2a 40,200 Nebraska
3 39,100 UCLA
4b 25,300 Nevada
5 36,200 Ohio State

2002
GAME
ATTENDEES OPPONENT
1 35,900 TCU
2a 46,500 Texas Tech
3 43,100 Alaska
4b 27,900 Arizona
5 39,200 Rice

2003
GAME
ATTENDEES OPPONENT
1 41,900 Arkansas
2a 46,100 Missouri
3 43,900 Florida
4b 30,100 Miami
5 40,500 Duke

2004
GAME
ATTENDEES OPPONENT
1 42,500 Indiana
2a 48,200 North Texas
3 44,200 Texas A&M
4b 33,900 Southern
5 47,800 Oklahoma

2005
GAME
ATTENDEES OPPONENT
1 46,900 LSU
2a 50,100 Texas
3 45,900

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