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Moving average forecasting is suited particularly well for what kind(s) of data sets?

Sagot :

Moving average forecasting is suited particularly well for   Stable/stationary series data sets

This is further explained below.

What is Moving average forecasting?

Generally,  A statistical tool that is used for the purpose of predicting long-term trends is called the moving average.

The method involves calculating the average of a group of values that fall within a certain range while simultaneously shifting the range.

In conclusion, The moving average forecasting method works especially effectively with data sets that belong to stable or stationary series.

Read more about moving average forecasting

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