1. Use POM-QM Software. 2. Launch the POM-QM for Windows software and from the main menu select Module, and then Forecasting. 3. Next, select File, New, and Least Squares - Simple and Multiple regression.
Problem
1. Use the forecasting module that you opened in the POM-QM for Windows software to solve the case study (Southwestern University). For this case study, you 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. 2. Answer the three discussion questions for the case study, except the part requiring you to justify the forecasting technique (Heizer & Render, 2011, p.146), as linear regression would be used.

Case Studies Southwestern University: (B)*

Southwestern University (SWU), a large state college in Stephenville, Texas, enrolls close to 20,000 students. The school is a dominant force in the small city, with more students during fall and spring than permanent residents.

Always a football powerhouse, SWU is usually in the top 20 in college football rankings. Since the legendary Bo Pitterno was hired as its head coach in 2003 (in hopes of reaching the elusive number 1 ranking), attendance at the five Saturday home games each year increased. Prior to Pitterno’s arrival, attendance generally averaged 25,000 to 29,000 per game. Season ticket sales bumped up by 10,000 just with the announcement of the new coach’s arrival. Stephenville and SWU were ready to move to the big time!

The immediate issue facing SWU, however, was not NCAA ranking. It was capacity. The existing SWU stadium, built in 1953, has seating for 54,000 fans. The following table indicates attendance at each game for the past 6 years.

One of Pitterno’s demands upon joining SWU had been a stadium expansion, or