The time-series multiplicative model is used for forecasting, where $T _ { t } , C _ { t } , S _ { t }$ and $R _ { t }$ are respectively the trend, cyclical, seasonal and random variation components of the time series, and $y _ { t }$ is the value of the time series at time t. The following estimates are obtained: $\hat { T _ { 1 } }$ = 125, $\tilde { C } _ { t }$ = 1.03, $\hat { S } _ { t }$ = 1.02, $\hat { R } _ { t }$ = 0.97. The model will produce a forecast of:
A) 122.659.
B) 131.325.
C) 118.980.
D) 127.385.

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The Answer of The time-series multiplicative model is used for forecasting, where $T _ { t } , C _ { t } , S _ { t }$ and $R _ { t }$ are respectively the trend, cyclical, seasonal and random variation components of the time series, and $y _ { t }$ is the value of the time series at time t. The following estimates are obtained: $\hat { T _ { 1 } }$ = 125, $\tilde { C } _ { t }$ = 1.03, $\hat { S } _ { t }$ = 1.02, $\hat { R } _ { t }$ = 0.97. The model will produce a forecast of:
A) 122.659.
B) 131.325.
C) 118.980.
D) 127.385.

The Time-Series Multiplicative Model Is Used for Forecasting, Where Tt,Ct,StT _ { t } , C _ { t } , S _ { t }Tt​,Ct​,St​

The Time-Series Multiplicative Model Is Used for Forecasting, Where $T _ { t } , C _ { t } , S _ { t }$