`error-terms` Related Article Results

Autocorrelation (or serial dependence) refers to the situation in which the error terms (residuals) in a time series are correlated with each other. Statistically, autocorrelation is defined as the correlation of a random variable with its own lagged values. This concept is particularly important in regression analysis, as it indicates a violation of one of the classical regression assumptions—that the error terms are independent of each other. Autocorrelation is commonly observed in time series