Asked by Andrew Crain on May 11, 2024
Verified
If the given time series exhibits seasonality but no trend,the ________ is the most appropriate forecasting model to determine the forecast of the time series.
A) single moving average model
B) seasonal multiplicative model
C) double exponential smoothing model
D) Holt-Winters additive model
Seasonal Multiplicative Model
A time series forecasting method that accounts for multiplicative seasonal variations in the data.
Holt-Winters Additive Model
A forecasting technique that extends exponential smoothing to capture seasonality and trend in time series data.
Seasonality
Periodic fluctuations in data or phenomena that occur regularly based on a season, quarter, month, etc.
- Choose the right forecasting techniques based on the analysis of trend and seasonal factors in the time series.
Verified Answer
AD
Annierys DominguezMay 12, 2024
Final Answer :
B
Explanation :
The seasonal multiplicative model is the most appropriate for a time series that exhibits seasonality but no trend. This model accounts for repeating patterns of seasonality over time but does not rely on an upward or downward trend. The other models listed all incorporate trends in their forecasting methods.
Learning Objectives
- Choose the right forecasting techniques based on the analysis of trend and seasonal factors in the time series.