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.

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