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The time-series multiplicative model is used for forecasting, where and are respectively the trend, cyclical, seasonal and random variation components of the time series, and is the value of the time series at time t. The following estimates are obtained: = 125, = 1.03, = 1.02, = 0.97. The model will produce a forecast of:
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