Question:

Autocorrelation in any regression model raises questions about the:

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Autocorrelation suggests the model may need further adjustments or additional explanatory variables.
Updated On: Jan 8, 2025
  • Validity of the model
  • Reliability of the model
  • Statistical significance of the model
  • Correlation between independent variables
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The Correct Option is A

Solution and Explanation

Autocorrelation refers to the correlation of a variable with its past values, and when it appears in the residuals of a regression model, it suggests that the model is missing some important variable or structure.
- Validity of the model is questioned because autocorrelation indicates that the model does not capture all the patterns in the data.
- The reliability of the model might also be affected, but autocorrelation primarily impacts the validity
.- Statistical significance can be misleading when autocorrelation is present, but it’s the validity that is directly challenged

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