The moving averages and exponential smoothing methods are appropriate for a time series exhibiting
A)a horizontal pattern.
B)a cyclical pattern.
C)trends.
D)seasonal effects.

Question

Quizplus · Accepted Answer

Moving averages and exponential smoothing methods are best suited for time series data that exhibit a horizontal or stable pattern, as they are designed to smooth out short-term fluctuations and highlight longer-term trends or cycles. These methods are not specifically designed to handle data with trends, cyclical patterns, or seasonal effects without modifications.

The Moving Averages and Exponential Smoothing Methods Are Appropriate for a Time