The forecast and then sum all these differences squared

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Reference no: EM131617375

Which of the following is TRUE (check all the correct choices, wrong answers will incur negative marking)

In the multiplicative time series model, the trend component is first found by using regression. Then the seasonal component (index) is identified using the data. These two components are then multiplied to get the final forecast.

To find MAD, you need to find the difference between the actual value and the forecast and then take the average of all these differences

To find MAPE, you need to find the absolute difference between the actual value and the forecast, then divide this absolute difference by the forecast value. Then take the average of all these absolute percentage errors.

To find MAPE, you need to find the absolute difference between the actual value and the forecast, then divide this absolute difference by the actual value. Then take the average of all these absolute percentage errors.

In the multiplicative time series model, the trend component is first found by using the overall average. Then the seasonal component (index) is identified using the data. These two components are then multiplied to get the final forecast.

To find MAD, you need to find the absolute difference between the actual value and the forecast and then take the average of all these absolute differences

To find MSE, you need to find the square of the difference between the actual value and the forecast and then sum all these differences squared.

To find MSE, you need to find the square of the difference between the actual value and the forecast and then take the average of all these differences squared.

Reference no: EM131617375

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