a. Produce a correlation matrix for the variables. Interpret the correlation between each pair of variables. Use some software to help produce the correlation matrix.
b. Estimate a regression model for sales 5 Percentage of games won. Interpret the results.
c. Estimate a regression model for sales 5 Number of active alumni. Interpret the results.
d. Conduct a multiple regression to explain ticket sales as a key marketing metric. Interpret the results.
e. Conduct a multiple regression model to predict ticket sales in 2016 presuming that a simple 3-year moving average is used to forecast winning percentage and number of alumni.
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