If the given time series has no trend and no seasonality,which of the following is the most appropriate forecasting model to determine the forecast of the time series?

A) the single moving average model
B) the seasonal additive model
C) the double exponential smoothing model
D) the Holt-Winters additive model

Seasonal Additive Model

In time series analysis, a model that adjusts for seasonal effects by adding seasonal variations at a constant level.

Single Moving Average Model

A forecasting technique that generates estimates of future values by averaging past observations, often used for smoothing time series data.

Trend

A general direction in which something is developing or changing.