Question: Useful in supply chain analytics and statistics, what technique is computed by dividing the running sum of forecast errors by the mean absolute deviation? Question

Useful in supply chain analytics and statistics, what technique is computed by dividing the running sum of forecast errors by the mean absolute deviation?
Question 4 options:
a)
mean absolute percentage error
b)
tracking signal
c)
standard error
d)
expected value

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