Asked by Shykerian Watson on Jun 03, 2024
Verified
The Durbin-Watson test allows the statistics practitioner to determine whether there is evidence of first-order autocorrelation.
Durbin-Watson Test
A statistical test used to detect the presence of autocorrelation at lag 1 in the residuals from a regression analysis.
First-Order Autocorrelation
The correlation between values in a series and their immediate predecessors, often used to detect patterns or trends in time series data.
- Understand the concept and implications of autocorrelation in regression models.
- Learn how to test for autocorrelation using the Durbin-Watson statistic.
Verified Answer
BJ
Brandy JohnsonJun 04, 2024
Final Answer :
True
Explanation :
The Durbin-Watson test is used to detect the presence of autocorrelation, specifically first-order autocorrelation, in a regression model. Therefore, the statement is true.
Learning Objectives
- Understand the concept and implications of autocorrelation in regression models.
- Learn how to test for autocorrelation using the Durbin-Watson statistic.
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