In a multiplicative seasonal model,we multiply a "base" forecast by an appropriate seasonal index.These indexes,one for each season,typically average to 1.

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In a multiplicative seasonal model, the seasonal effect is multiplicative rather than additive, meaning the seasonal indexes are used to scale the base forecast up or down depending on the season. These indexes typically average to 1 to ensure that over the course of a full cycle (e.g., a year), the seasonal adjustments average out to no change when compared to the base forecast.

In a Multiplicative Seasonal Model,we Multiply a "Base" Forecast by an Appropriate