Questions 1. 2. Identify the variables that are likely to be related to ticket and concession sales. Use multiple linear regression to develop two models: one for predicting ticket sales and one for predicting concession sales. Develop a simulation model to predict total revenue for a single 16-game season. One variable in your simulation should be the team's win percentage. The simulation model should be entered into a spreadsheet to facilitate multiple replications. Assume Sparks' projection for the team's win percentage for the upcoming season is 0.500, approximately the average win percentage of the previous four seasons. Provide a forecast for total revenue for the season, assuming only the minimum number of home games will be played eight conference games and eight non-conference games, each eight split evenly between weekends and weekdays. Your forecast should be based on at least 100 simulated seasons. Follow the instructions above, but use a random win percentage, with each of the win percentages of the four recent seasons equally likely to occur in the upcoming season [see Exhibit 1 in the case]