Deseasonalization is the process of O removing seasonal variation from data O assessing demand attendance...
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Deseasonalization is the process of O removing seasonal variation from data O assessing demand attendance in high and low demand periods O comparing attendance in the high season to that in the low season O predicting changes in attendance based on seasonality When using linear regression to create historical forecasts, the will be equal to 0. mean error mean absolute deviation mean absolute percentage error mean squared error The seasonal index tells us o the percentage of "average" monthly attendance that typically occurs in a given month. O the average attendance to a park by month O the ratio of monthly attendance to total attendance O the number of people expected to attend in a given month
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