Lagging refers to the phenomenon where a data point in a time series is influenced by previous values, creating a delay in the response of the variable being measured. In time series analysis, lagging is essential for understanding trends and patterns over time, as it allows analysts to compare current values with past observations, which can reveal correlations and help in forecasting future values.
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