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cherise1989

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Assume that a time-series forecast is generated for future demand and subsequently it is observed that the forecast method did not accurately predict the actual demand. Specifically, the forecast errors were found to be: Mean absolute percent error = 10% Cumulative sum of forecast errors = 0% Which one of the statements concerning this forecast is TRUE?
◦ The forecast has no bias but has a positive standard deviation of errors.
◦ The forecast has no bias and has a standard deviation of errors equal to zero.
◦ The forecast has a positive bias and a standard deviation of errors equal to zero.
◦ The forecast has a positive bias and a positive standard deviation of errors.


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Marked as best answer by cherise1989 on Apr 18, 2020

apple

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Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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cherise1989

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Reply 2 on: Apr 18, 2020
Excellent


vickyvicksss

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Reply 3 on: Yesterday
Thanks for the timely response, appreciate it

 

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