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Critical Values
Critical values are specific points on the scale of a statistical distribution that are used to determine the threshold at which the null hypothesis of a test can be rejected.
Positive Autocorrelation
Occurs when a variable's current value is positively related to its past values in a time series.
Durbin-Watson Statistic
A statistical measure employed to identify if there is autocorrelation at the first lag within the residual values following a regression analysis.
Positive Autocorrelation
A situation in which the errors in a regression model are positively correlated, meaning that a positive error in one period is likely to be followed by a positive error in the next.
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