Asked by Orion Lavigne on May 20, 2024
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If the value of the Durbin-Watson statistic,d,satisfies the inequality dL≤d≤dU,where dL and dU are the critical values for d,then the test for positive first-order autocorrelation is inconclusive.
Durbin-Watson Statistic
A test statistic used to detect the presence of autocorrelation in the residuals from a regression analysis.
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.
- Absorb the principle and impact of autocorrelation in regression model analysis.
- Develop the ability to investigate autocorrelation by leveraging the Durbin-Watson statistic.
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Learning Objectives
- Absorb the principle and impact of autocorrelation in regression model analysis.
- Develop the ability to investigate autocorrelation by leveraging the Durbin-Watson statistic.
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