Match the definition with the forecasting error metric to which it applies below:

These are the following options:

- Cumulative forecast error

- Absolute Error

- Sum of Squared errors

- Mean absolute percentage error

- Absolute percentage error

- Mean Forecast error

- Mean absolute error

a. It averages all the errors available. b. It averages all the absolute errors available. c. It sums up all the squared error available. d. It divides the absolute error of a period by the actual value of that period. The resulting quotient is then multiplied by 100. e. It takes the average of the absolute percentage error values over a range of time periods.

f. It sums up all the error available