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Below the printouts of the Regression Analysis for this forecasting problem.The predicted number of annual attendance is the dependent variable (Y) and the admission fees

Below the printouts of the Regression Analysis for this forecasting problem.The predicted number of annual attendance is the dependent variable (Y) and the admission fees of Adult, Children, and Group (X1, X2, X3) are the independent variables.Comment on these printouts - are these admission fees "good" enough (i.e., predictable enough) to be used as solo independent variables for the purposes of forecasting annual attendance?

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Regression Analysis

a) Y and X1

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The regression equation is

Annual Attendance = 24061 + 30816 Adult-Fee

Sd. Error = 18465R2 = 69.7%

b) Y and X2

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The regression equation is

Annual Attendance = 38651 + 41694 Child-Fee

Sd. Error = 17439R2 = 73.0%

c) Y and X3

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The regression equation is

Annual Attendance = 41324 + 63075 Group-Fee

St. Error = 19132R2 = 67.4%

d) Y and X1, X2, X3

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The regression equation is

Annual Attendance = 52604 - 26541Adult-Fee + 74705Child-Fee + 2971 Group-Fee

Sd. Error = 19788R2 = 73.9%

e) Y and X5 (X5 - the year where 1992 as [1] and 2001 as [10])

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The regression equation is

Annual Attendance = 44352 + 9197 Year

Sd. = 15877R2 = 77.6%

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