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Unformatted text preview: multiply it by the seasonal index for that season. Note that a season can be any amount of time during which there is a repetitive oscillation. For example, a season may be a day, a week, a month, or a year. Seasonal indices can be used in conjunction with linear trend analysis via regression analysis. For example, a least-squares regression might predict demand out for 24 periods, and then seasonal indices can be computed for each period. In this fashion, least-squares projections can be adjusted to better reflect seasonal variation. The key, however, is to ensure that the periods being considered match up well with the seasons....
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This note was uploaded on 02/03/2011 for the course MAN 4504 taught by Professor Benson during the Spring '08 term at University of Florida.
- Spring '08