Question: (Requires StatTools) This data set has obvious seasonality and some upward trend, so one appropriate forecasting method is to use Holt's exponential smoothing method on

(Requires StatTools) This data set has obvious seasonality and some upward trend, so one appropriate forecasting method is to use Holt's exponential smoothing method on the deseasonalized series. If this method is used with both smoothing constants equal to 0.2, which of the following is true?

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a. If the graph of the deseasonalized errors is requested, it will show a seasonal pattern.
b. To get a future forecast (i.e., beyond 2016), this method starts with the last estimated deseasonalized level, keeps adding the last estimated deseasonalized trend, and finally multiplies the sum by the relevant seasonal factor.
c. This method updates the seasonal factors through time, i.e., the seasonal factors change from year to year.

d. All of these choices are true.

Month Value
Jan-12 6001
Feb-12 5702
Mar-12 10784
Apr-12 10004
May-12 12606
Jun-12 15300
Jul-12 18936
Aug-12 23240
Sep-12 18438
Oct-12 12424
Nov-12 6963
Dec-12 9202
Jan-13 11420
Feb-13 7622
Mar-13 10177
Apr-13 10189
May-13 14166
Jun-13 13736
Jul-13 20912
Aug-13 25546
Sep-13 15757
Oct-13 12897
Nov-13 8709
Dec-13 12632
Jan-14 10242
Feb-14 9466
Mar-14 10888
Apr-14 14205
May-14 16066
Jun-14 24185
Jul-14 27871
Aug-14 36070
Sep-14 21900
Oct-14 16028
Nov-14 11198
Dec-14 13573
Jan-15 9958
Feb-15 12113
Mar-15 14488
Apr-15 18210
May-15 17427
Jun-15 28348
Jul-15 32036
Aug-15 42234
Sep-15 22413
Oct-15 15762
Nov-15 13085
Dec-15 16189
Jan-16 12347
Feb-16 12823
Mar-16 16182
Apr-16 23178
May-16 18621
Jun-16 27557
Jul-16 39899
Aug-16 39624
Sep-16 30104
Oct-16 19171
Nov-16 13147
Dec-16 18186

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