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Figure 1: Actual Ticket Sales and Predict Ticket Sales for Bayern Mmich Tbltet 9am 'Pmmd Ticks! Salas EEEEE EE an: m For the following questions,

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Figure 1: Actual Ticket Sales and Predict Ticket Sales for Bayern Mmich Tbltet 9am 'Pmmd Ticks! Salas EEEEE EE an: m For the following questions, please use the information provided above and support yam answers with calculations, if applicable. QNI. Please specify the log-log regression model for which Table 4 shows the results. Using betas (B) for regression coefcients and adopt compact notation for the club dummies using a summation sign (2.). QNZ. Please judge model fit based on Tables 2, 3 and 5. Q. (a) By what percentage do ticket sales go up with a 1% percent increase in publicity? By what percentage do ticket sales go up with a 1% percent increase in recruitment spend? By what percentage do ticket sales go up with a 1% percent increase in winning percentage? QN4. Figure 1 shows actual versus predicted annual ticket sales for Bayern Munich, one of the biggest soccer clubs. Please comment on this graph, while knowing that the club went to a much larger stadium in 2006. Is there any need to expand the regression model, and if so, what would you add to the model? QNS: What is the marginal return on investment (ROM) for recruitment spend? You can assume that an average ticket costs 40 and the profit margin is 95% of revenue. What does this marginal ROM mean for a soccer club

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