Question

__________, the best forecasting methods to use are time series models such as moving average. ANSWER Unselected When the future level of some variable is seen as a function of time Unselected When historical data are scarce, not available, or irrelevant Unselected When little or no data is available Unselected When the future level of some variable is seen as a function of something other than time Unselected I DON'T KNOW YET

Answer 1

Greetings!

The correct answer is the last one, "When the future level of some variable is seen as a function other than time".

Step-by-step explanation:

Along other forecasting methods, the moving average finds utility in cases when seasonality is a factor. This term refers to a set of variables unknown to (or uncontrolled by) the observer that influence the series model in some way.

By applying a moving average to a time series one can mitigate such irregular effects.

I hope this helps!