Responsiveness refers to the ability of a method or model to react to changes in data over time. In the context of moving averages, it highlights how quickly and accurately these averages can adjust to fluctuations in the underlying data, reflecting more current trends. A higher responsiveness means that a moving average will closely follow the data points, while a lower responsiveness indicates a smoother curve that may lag behind actual changes.
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