Asked by Jackie Duran on Jul 09, 2024
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Large values of the Durbin-Watson statistic d (d > 2)indicate a positive first-order autocorrelation.
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.
- Fathom the concept and implications of autocorrelation as it pertains to regression models.
- Highlight the disparities between positive and negative first-order autocorrelation.
Verified Answer
Learning Objectives
- Fathom the concept and implications of autocorrelation as it pertains to regression models.
- Highlight the disparities between positive and negative first-order autocorrelation.
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