Business Forecasting
Serial correlation, also known as autocorrelation, refers to the relationship between a variable's current value and its past values over time. It indicates the degree to which current observations are correlated with previous observations, which can reveal patterns or trends within the data. Understanding serial correlation is crucial when analyzing time series data as it affects the validity of statistical models and forecasts.
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