Question

Autocorrelation in any regression model raises questions about the:

• A. Validity of the model
• B. Reliability of the model
• C. Statistical significance of the model
• D. Correlation between independent variables

Hint:

Autocorrelation suggests the model may need further adjustments or additional explanatory variables.

Answer 1

The Correct Option is A

Autocorrelation, the correlation of a variable with its past values, indicates missing variables or structural issues when present in regression model residuals.
- It primarily compromises model validity by showing the model fails to capture all data patterns.
- While model reliability can also be affected, autocorrelation's main impact is on validity.
- Although statistical significance may be misleading, autocorrelation directly challenges the model's validity.