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The Time-Series Model Yt = Tt×Ct×St×Rt Is Used for Forecasting,where

Question 3

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The time-series model yt = Tt×Ct×St×Rt is used for forecasting,where Tt,Ct,St,and Rt are respectively the trend,cyclical,seasonal,and random variation components of the time series,and yt is the value of the time series at time t.The following estimates are obtained: The time-series model y<sub>t</sub> = T<sub>t</sub>×C<sub>t</sub>×S<sub>t</sub>×R<sub>t</sub> is used for forecasting,where T<sub>t</sub>,C<sub>t</sub>,S<sub>t</sub>,and R<sub>t</sub> are respectively the trend,cyclical,seasonal,and random variation components of the time series,and y<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: = 120, = 1.02, = 0.95,and = 0.90.The model will produce a forecast of: A) 122.870 B) 104.652 C) 116.280 D) 102.600 = 120, The time-series model y<sub>t</sub> = T<sub>t</sub>×C<sub>t</sub>×S<sub>t</sub>×R<sub>t</sub> is used for forecasting,where T<sub>t</sub>,C<sub>t</sub>,S<sub>t</sub>,and R<sub>t</sub> are respectively the trend,cyclical,seasonal,and random variation components of the time series,and y<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: = 120, = 1.02, = 0.95,and = 0.90.The model will produce a forecast of: A) 122.870 B) 104.652 C) 116.280 D) 102.600 = 1.02, The time-series model y<sub>t</sub> = T<sub>t</sub>×C<sub>t</sub>×S<sub>t</sub>×R<sub>t</sub> is used for forecasting,where T<sub>t</sub>,C<sub>t</sub>,S<sub>t</sub>,and R<sub>t</sub> are respectively the trend,cyclical,seasonal,and random variation components of the time series,and y<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: = 120, = 1.02, = 0.95,and = 0.90.The model will produce a forecast of: A) 122.870 B) 104.652 C) 116.280 D) 102.600 = 0.95,and The time-series model y<sub>t</sub> = T<sub>t</sub>×C<sub>t</sub>×S<sub>t</sub>×R<sub>t</sub> is used for forecasting,where T<sub>t</sub>,C<sub>t</sub>,S<sub>t</sub>,and R<sub>t</sub> are respectively the trend,cyclical,seasonal,and random variation components of the time series,and y<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: = 120, = 1.02, = 0.95,and = 0.90.The model will produce a forecast of: A) 122.870 B) 104.652 C) 116.280 D) 102.600 = 0.90.The model will produce a forecast of:


A) 122.870
B) 104.652
C) 116.280
D) 102.600

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