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In forecasting, the mean absolute deviation expresses

AGross error

BDirection and magnitude of the error

CDirection of the error

DMagnitude of the error

Answer:

D. Magnitude of the error

Read Explanation:

Mean absolute deviation (MAD) in forecasting expresses the magnitude of forecast error for a given period without considering its sign. It is calculated as the average value of forecast error for a certain period. On the other hand, BIAS or Mean forecast error measures the forecast error with regard to direction and shows any tendency of overcast or undercast.


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