Final Exam – STAT 360 Regression Analysis 1 – Fan Cost Index of Attending Professional Sports Games (Football, Baseball, Basketball, and HOCKEY! Datafiles: FCI.JMP and FCI.txt) Fan Cost Index (FCI) which is used to track the cost of attendance for a family of four to major sporting events. According to their website, Team Marking Report is the leading publisher of sports marketing and sponsorship information used daily by executives from collegiate and professional sports properties, sponsor companies, marketing agencies and media partners. The calculation of the Fan Cost Index (FCI) is described on the above website and can be generally expressed as. Verify the calculation of FCI for the Boston Red Sox’s in the above table. (2 pts) I have collected data on the Fan Cost Index for all teams in the MLB, NBA, NFL, and NHL leagues from the Team Marketing website. Other variables included: Consider the following mean function for Fan Cost Index (FCI). Fit the above mean function in JMP. Paste a copy of the model output here. (3 pts) Are the estimated regression coefficients from your regression model fairly close to the values we’d expect them to be considering how FCI is computed? You can formally test if the parameters equal the those in the equation above or look at the CI’s for each . Discuss your findings. (6 pts) Consider the estimated regression coefficient for Seating ( ), give a practical interpretation of this quantity. (2 pts)
Final Exam – STAT 360 Regression Analysis 1 – Fan Cost Index of Attending Professional Sports Games (Football, Baseball, Basketball, and HOCKEY! Datafiles: FCI.JMP and FCI.txt) Fan Cost Index (FCI) which is used to track the cost of attendance for a family of four to major sporting events. According to their website, Team Marking Report is the leading publisher of sports marketing and sponsorship information used daily by executives from collegiate and professional sports properties, sponsor companies, marketing agencies and media partners. The calculation of the Fan Cost Index (FCI) is described on the above website and can be generally expressed as. Verify the calculation of FCI for the Boston Red Sox’s in the above table. (2 pts) I have collected data on the Fan Cost Index for all teams in the MLB, NBA, NFL, and NHL leagues from the Team Marketing website. Other variables included: Consider the following mean function for Fan Cost Index (FCI). Fit the above mean function in JMP. Paste a copy of the model output here. (3 pts) Are the estimated regression coefficients from your regression model fairly close to the values we’d expect them to be considering how FCI is computed? You can formally test if the parameters equal the those in the equation above or look at the CI’s for each . Discuss your findings. (6 pts) Consider the estimated regression coefficient for Seating ( ), give a practical interpretation of this quantity. (2 pts)
Final%20Exam%20(2015).docx