Compute the mean absolute deviation $($MAD$),$ the mean squared error $($MSE$),$ the bias, and the mean average percent error $($MAPE$)$ for the following forecast. $($Note: the actual

demand values are designated by $a_t$ and the forecast values by $F_t).$

Click the icon to view the table of the actual observations and forecasted values for each period.

The mean absolute deviation $($MAD$)$ is

$.($Enter your response rounded to one decimal place.$)$

The mean squared error $($MSE$)$ is $190335\mathrm{.}4.($Enter your response rounded to one decimal place.$)$

The bias is

$($Enter your response rounded to one decimal place.$)$

Compute the mean absolute deviation $($MAD$),$ the mean squared error $($MSE$),$ the bias, and the mean average percent error $($MAPE$)$ for the

lemand values are designated by $a_t$ and the forecast values by $F_t).$

Click the icon to view the table of the actual observations and forecasted values for each period.

The mean absolute deviation $($MAD$)$ is $313\mathrm{.}8.($Enter your response rounded to one decimal place.$)$

The mean squared error $($MSE$)$ is $190335\mathrm{.}4.($Enter your response rounded to one decimal place.$)$

The bias is $.($Enter your response rounded to one decimal place.$)$

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