Two independent methods of forecasting based on judgment and experience have been prepared each month for the past 10 months. The forecasts and actual sales are as follows: Month Sales 835 1 2 3 4 5 6 7 8 9 10 830 795 810 790 830 775 850 840 850. Forecast 1 Forecast 2 Forecast 1 Forecast 2 815 805 790 MAPE F1 MAPE F2 820 800 770 a. Compute the MSE and MAD for each forecast. (Round your answers to 2 decimal places.) MSE MSE MAD Tracking signal Control limits 785 820 805 840 810 805 810 850 815 776 705 850 MAD b. Compute MAPE for each forecast. (Round your intermediate calculations to 5 decimal places and final answers to 4 decimal places.) 795 840 0 c. Prepare a naive forecast for periods 2 through 11 using the given sales data. Compute each of the following: (1) MSE, (2) MAD, (3) tracking signal at month 10, and (4) 2s control limits. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
Two independent methods of forecasting based on judgment and experience have been prepared each month for the past 10 months. The forecasts and actual sales are as follows: Month Sales 835 1 2 3 4 5 6 7 8 9 10 830 795 810 790 830 775 850 840 850. Forecast 1 Forecast 2 Forecast 1 Forecast 2 815 805 790 MAPE F1 MAPE F2 820 800 770 a. Compute the MSE and MAD for each forecast. (Round your answers to 2 decimal places.) MSE MSE MAD Tracking signal Control limits 785 820 805 840 810 805 810 850 815 776 705 850 MAD b. Compute MAPE for each forecast. (Round your intermediate calculations to 5 decimal places and final answers to 4 decimal places.) 795 840 0 c. Prepare a naive forecast for periods 2 through 11 using the given sales data. Compute each of the following: (1) MSE, (2) MAD, (3) tracking signal at month 10, and (4) 2s control limits. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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please solve all parts within 30 minutes.

Transcribed Image Text:Two independent methods of forecasting based on judgment and experience have been prepared each month for the past 10 months.
The forecasts and actual sales are as follows:
Month Sales
1
835
2
3
4
5
6
7
8
9
10
830
795
810
790
830
775
850
840
850
Forecast 1
Forecast 2
MAPE F1
MAPE F2
MSE
MAD
Forecast 1
815
805
790
a. Compute the MSE and MAD for each forecast. (Round your answers to 2 decimal places.)
820
800
770
785
820
805
840
MSE
Tracking signal
Control limits
Forecast 2
810
805
810
850
815
776
785
b. Compute MAPE for each forecast. (Round your intermediate calculations to 5 decimal places and final answers to 4 decimal
places.)
850
795
840
MAD
c. Prepare a naive forecast for periods 2 through 11 using the given sales data. Compute each of the following: (1) MSE, (2) MAD, (3)
tracking signal at month 10, and (4) 2s control limits. (Negative values should be indicated by a minus sign. Round your answers to 2
decimal places.)
01
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