Of the smoothing methods, which one does the level L_t, as well as the trend T_t, adapt over time and is a best fit when the time series expresses no seasonality? A) simple exponentially smoothing technique B) the moving average technique C) the Holt exponential smoothing method D) the Holt-Winters exponential smoothing method

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Quizplus · Accepted Answer

The Holt exponential smoothing method adapts both the level and the trend over time, making it suitable for time series data that shows a trend but no seasonality. Simple exponential smoothing only adjusts the level, the moving average technique is not adaptive, and the Holt-Winters method is designed for data with seasonality.

Of the Smoothing Methods, Which One Does the Level Lt

Of the Smoothing Methods, Which One Does the Level L_t