The Dominguez Hills Company has the following forecasts generated by two forecasting methods. Actual sales for the same time periods are shown below: YEAR SALES 850 FORECAST 1 FORECAST 2 833 1 843 2 869 876 3 858 870 921 910 827 902 795 846 4 5 6 7 8 850 845 905 845 890 815 835 842 864 805 821 Compute the tracking signal for each forecasting method. Do not round intermediate calculations. Round your answers to two decimal places. Use a minus sign to enter a negative value, if any. Tracking signal (method 1): Tracking signal (method 2): Why is tracking signal important in assessing the performance of a forecasting model? If the tracking signal falls -Select-preset control limits, there is a bias problem with the forecasting method. Assuming that the control limit for the tracking signal is ±4, the first forecasting method -Select-within the limits and the second forecasting method -Select- within the limits.

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The Dominguez Hills Company has the following forecasts generated by two forecasting methods. Actual sales for the same time periods are shown below:
YEAR
1
SALES
850
FORECAST 1 FORECAST 2
833
843
2
850
869
876
3
845
858
870
4
905
921
910
5
845
842
827
6
890
864
902
7
815
805
795
8
835
821
846
Compute the tracking signal for each forecasting method. Do not round intermediate calculations. Round your answers to two decimal places. Use a minus sign to enter a negative value, if any.
Tracking signal (method 1):
Tracking signal (method 2):
Why is tracking signal important in assessing the performance of a forecasting model?
If the tracking signal falls -Select-preset control limits, there is a bias problem with the forecasting method.
Assuming that the control limit for the tracking signal is ±4, the first forecasting method -Select- within the limits and the second forecasting method -Select- within the limits.
Transcribed Image Text:The Dominguez Hills Company has the following forecasts generated by two forecasting methods. Actual sales for the same time periods are shown below: YEAR 1 SALES 850 FORECAST 1 FORECAST 2 833 843 2 850 869 876 3 845 858 870 4 905 921 910 5 845 842 827 6 890 864 902 7 815 805 795 8 835 821 846 Compute the tracking signal for each forecasting method. Do not round intermediate calculations. Round your answers to two decimal places. Use a minus sign to enter a negative value, if any. Tracking signal (method 1): Tracking signal (method 2): Why is tracking signal important in assessing the performance of a forecasting model? If the tracking signal falls -Select-preset control limits, there is a bias problem with the forecasting method. Assuming that the control limit for the tracking signal is ±4, the first forecasting method -Select- within the limits and the second forecasting method -Select- within the limits.
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