Extrapolations of time series can be based on
A)cyclical wave patterns.
B)trend lines.
C)step functions.
D)combinations of any or all of these patterns.

Question

Quizplus · Accepted Answer

Extrapolations of time series are often based on combinations of cyclical wave patterns, trend lines, and step functions. This is because time series data often exhibit more than one type of pattern, and using a combination of these patterns can provide a more accurate forecast. For example, a time series may exhibit both a long-term trend and a cyclical pattern, and incorporating both of these patterns into the forecast can lead to a more accurate prediction.

Extrapolations of Time Series Can Be Based on