The autocorrelation function (ACF) measures the correlation of a time series with its own past values, providing insights into the relationship between current and historical observations. ACF is crucial in understanding patterns within time series data, helping identify seasonality and trends, which are important for validating and diagnosing models used in forecasting and decision-making processes.
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