Question: Assignment Problem: The accounting numbers for major league baseball franchises are given in the table below. All figures are in millions of dollars. The numerical

Assignment Problem:

The accounting numbers for major league baseball franchises are given in the table below. All figures are in millions of dollars. The numerical variables are GtReceit (Gate Receipts), MediaRev (Media Revenue), StadRev (Stadium Revenue), PlayerCt (Player Costs), OpExpens (Operating Expenses), and FranValu (Franchise Value).

Use Minitab to answer the following questions:

a. Fit a multiple regression model relating Franchise Value to all other variables. Is the regression significant? Explain.

b. What is the average increase/decrease in the Franchise value when the Stadium revenue increases by $1 million?

c. Compute a forecast of the Franchise Value if the independent variables have the following values: Gate receipts = $10 million, Media revenue = $25 million, Stadium revenue = $9 million, Player costs = $22 million, and Operating expenses = $35 million.

d. What is the value of the standard error of the estimate (S). Interpret its meaning in terms of this problem.

e. What is the value of the coefficient of determination (R2). Interpret its meaning in terms of this problem.

f. What are the values of the variance inflation factors (VIFs) for the independent variables. Is multicollinearity a problem for these data? Why?

g. Examine the t statistics for checking the significance of the individual predictor variables. Which predictor variable(s) can be eliminated?

h. How can this regression equation be improved? (Hint: Apply the "All possible regressions" method in Minitab to answer this part).

i. Apply the "stepwise method" in Minitab and compare the results with your answer in part (h).

Table 1: Accounting Numbers for Major League Baseball ($ millions)

Franchise GtReceit MediaRev StadRev PlayerCt OpExpens FranValu
NyYank 19.4 62 7.4 29.8 59.6 200
LADodge 26.6 32.5 19 36 72 180
NYMets 22.9 50 16 35.2 70.4 170
TorBlJay 44.5 30 12 28.7 62.4 160
BosRdSox 23.5 40.5 14.3 35.4 70.8 160
BaltOrio 18 24.4 5 15.8 39.5 140
ChWhSox 27.5 24.7 19.3 18 60 140
StLCard 19.9 25 12 23.2 45.4 132
ChCubs 22.8 27.5 12 29 57 132
TxRanger 19 26.5 14 20.7 47.6 123
KCRoyals 16.9 20.5 14.5 30.4 60.8 117
PhilPhil 15.2 23.2 7.6 20.7 43.4 115
OakAthlt 25.7 28 10 39.2 66.6 115
CalAngls 18 27.9 5 34.3 61.7 103
SFGiants 15.5 26.2 5 33.3 52.3 99
CinnReds 17.1 24.4 5.3 27.1 47.8 98
SDPadres 14.6 23.1 7.5 24.4 48.8 96
HousAstr 10.6 26.2 8 12.1 31.5 95
PittPirt 16.2 20.9 5.5 24.9 49.8 87
DetTiger 15.6 28.8 5 32.1 54.4 85
AtBraves 15.4 18.9 3.8 20.4 41.8 83
MinnTwin 17.2 20.5 3.2 24.1 48.2 83
SeatMar 15.5 21 5 17.4 41.8 79
MilBrews 14.2 19.4 3 25.4 50.2 77
ClevIndn 9.5 23.7 6.6 19.5 47.8 77
MonExpos 10.7 22.5 3 21.8 43.6 75

The solution is through the Minitab program, with a copy of the Minitab report attached

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