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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION

Question 21

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THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
The table below is the data set of the Shiller Real Home Price Index for the years 1894-1904.
Use a smoothing constant of α = 0.8 to determine the forecasts using simple exponential smoothing.
THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The table below is the data set of the Shiller Real Home Price Index for the years 1894-1904. Use a smoothing constant of α = 0.8 to determine the forecasts using simple exponential smoothing. -The time-series model X<sub>t</sub> = T<sub>t</sub> × S<sub>t</sub> × C<sub>t</sub> × I<sub>t</sub> is used for forecasting,where T<sub>t</sub>,S<sub>t</sub>,C<sub>t</sub>,and I<sub>t</sub> are respectively the trend,seasonal,cyclical,and irregular components of the time series,and X<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: <sub>t</sub> = 125, <sub>t</sub> = 0.92, <sub>t</sub> = 1.04,and <sub>= 0.90.The model will produce a forecast of:</sub> A) 127.86 B) 122.14 C) 107.64 D) 102.99
-The time-series model Xt = Tt × St × Ct × It is used for forecasting,where Tt,St,Ct,and It are respectively the trend,seasonal,cyclical,and irregular components of the time series,and Xt is the value of the time series at time t.The following estimates are obtained: THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The table below is the data set of the Shiller Real Home Price Index for the years 1894-1904. Use a smoothing constant of α = 0.8 to determine the forecasts using simple exponential smoothing. -The time-series model X<sub>t</sub> = T<sub>t</sub> × S<sub>t</sub> × C<sub>t</sub> × I<sub>t</sub> is used for forecasting,where T<sub>t</sub>,S<sub>t</sub>,C<sub>t</sub>,and I<sub>t</sub> are respectively the trend,seasonal,cyclical,and irregular components of the time series,and X<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: <sub>t</sub> = 125, <sub>t</sub> = 0.92, <sub>t</sub> = 1.04,and <sub>= 0.90.The model will produce a forecast of:</sub> A) 127.86 B) 122.14 C) 107.64 D) 102.99 t = 125, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The table below is the data set of the Shiller Real Home Price Index for the years 1894-1904. Use a smoothing constant of α = 0.8 to determine the forecasts using simple exponential smoothing. -The time-series model X<sub>t</sub> = T<sub>t</sub> × S<sub>t</sub> × C<sub>t</sub> × I<sub>t</sub> is used for forecasting,where T<sub>t</sub>,S<sub>t</sub>,C<sub>t</sub>,and I<sub>t</sub> are respectively the trend,seasonal,cyclical,and irregular components of the time series,and X<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: <sub>t</sub> = 125, <sub>t</sub> = 0.92, <sub>t</sub> = 1.04,and <sub>= 0.90.The model will produce a forecast of:</sub> A) 127.86 B) 122.14 C) 107.64 D) 102.99
t = 0.92, THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The table below is the data set of the Shiller Real Home Price Index for the years 1894-1904. Use a smoothing constant of α = 0.8 to determine the forecasts using simple exponential smoothing. -The time-series model X<sub>t</sub> = T<sub>t</sub> × S<sub>t</sub> × C<sub>t</sub> × I<sub>t</sub> is used for forecasting,where T<sub>t</sub>,S<sub>t</sub>,C<sub>t</sub>,and I<sub>t</sub> are respectively the trend,seasonal,cyclical,and irregular components of the time series,and X<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: <sub>t</sub> = 125, <sub>t</sub> = 0.92, <sub>t</sub> = 1.04,and <sub>= 0.90.The model will produce a forecast of:</sub> A) 127.86 B) 122.14 C) 107.64 D) 102.99
t = 1.04,and THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: The table below is the data set of the Shiller Real Home Price Index for the years 1894-1904. Use a smoothing constant of α = 0.8 to determine the forecasts using simple exponential smoothing. -The time-series model X<sub>t</sub> = T<sub>t</sub> × S<sub>t</sub> × C<sub>t</sub> × I<sub>t</sub> is used for forecasting,where T<sub>t</sub>,S<sub>t</sub>,C<sub>t</sub>,and I<sub>t</sub> are respectively the trend,seasonal,cyclical,and irregular components of the time series,and X<sub>t</sub> is the value of the time series at time t.The following estimates are obtained: <sub>t</sub> = 125, <sub>t</sub> = 0.92, <sub>t</sub> = 1.04,and <sub>= 0.90.The model will produce a forecast of:</sub> A) 127.86 B) 122.14 C) 107.64 D) 102.99
= 0.90.The model will produce a forecast of:


A) 127.86
B) 122.14
C) 107.64
D) 102.99

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