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Question: question 11 four amateur forecasters have each made a forecast...

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QUESTION 10 Consider a seasonality model, such as the one for the Edmonton International Airport that was modelled in the lab, in which average seasonal indexes are computed for each month of the year. Now consider that it is later found that the demand number used for November 2011 was incorrect, and that actual demand value was lower than the number used in the model. If the number used in the model is corrected, what should happen to the resulting average seasonal indexes? a. The average seasonal index value for November will increase while the average seasonal index values for all other months will decrease b. The average seasonal index value for November will decrease while the average seasonal index values for all other months will increase c. The average seasonal index values for all months will increase d. The average seasonal index values for all months will decrease e. The average seasonal index value for November will decrease while the average seasonal index values for all other months will not change f. The average seasonal index value for November will increase while the average seasonal index values for all other months will not change QUESTION 11 Four amateur forecasters have each made a forecast for demand for the past 60 weeks (see attached Excel file). Calculate the average amount of error (i.e. the Mean Absolute Deviation) for each of the forecasters over the entire 60 weeks, and rank them from best to worst (i.e. the best forecaster, according to MAD, will be ranked 1, second best will be ranked 2, etc.) Tim Janice Michael Rhonda8 8 57 76 67 67 70 57 69 7 5 3 36 51 66 6 7 8 9 14 6 ook-1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 20 2 2 2 2 2 26 2 29 30 3 3 3 3 3 3 3 3 3 4 1 2 3 4 5 6 7 8 9 50 5 5 5 5 5 5 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 0 1 2 3 4 5 6 7 8 2Question 11: Four amateur forecasters have each made a forecast for demand for the past 60 weeks (see attached Excel file ). Calculate the average amount of error (i.e. the Mean Absolute Deviation) for each of the forecasters over the entire 60 weeks, and rank them from best to worst(i.e. the best forecaster, according to MAD, will be ranked "1", second best will be ranked "2", etc.).

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