The mean absolute deviation is used to: Multiple Choice estimate the trend line. eliminate forecast errors. measure forecast accuracy. seasonally adjust the forecast. compute periodic forecast errors.

measure forecast accuracy

Step-by-step explanation: The mean absolute deviation takes the average of the square of the absolute value of the difference between mean and observed values. In doing so, the mean absolute deviation gives information about the accuracy of a model. Hence, giving an hint into how effective it will be in making prediction about the future. The smaller the value of the mean absolute deviation, the better the forecast accuracy of the model. As the model. With the best prediction accuracy is one in which the mean absolute deviation is reduced.

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step-by-step explanation:

the entire expression should be subtracted from 30. to subtract the quantity, distribute the negative sign, which changes the signs on the terms. so, the –2 changes to positive and gets added to 30 instead of subtracted from it.

hope this ! ^w^