The concept of _______ is crucial in time series analysis, representing the correlation between points at different times.

  • Autocorrelation
  • Correlation Coefficient
  • Covariance
  • Cross-correlation
Autocorrelation measures the correlation of a time series with its own past values at different lags. It helps identify patterns and dependencies within the time series data.
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