Q.116
Agricultural Economics- ICAR JRF/SRF 2024
MCQ (Single Correct)
+4
−1
Choose the right statement
EXPLANATION
Classical Linear Regression Model (OLS Assumptions, Gauss-Markov Theorem, BLUE Estimators) & Goodness of Fit
- Multicollinearity and Determinant of Matrix $(X'X)$:
- In multiple regression analysis, the Variance-Covariance matrix of estimated regression coefficients is given by:
- The inverse $(X'X)^{-1}$ is inversely proportional to the determinant $|X'X|$:
- Impact of High Collinearity: As linear dependence among regressors increases, the determinant $|X'X|$ approaches zero (becomes very small). Dividing by this near-zero determinant drastically inflates the elements of $(X'X)^{-1}$, causing the variances and standard errors of regression coefficients to explode.
- Therefore, higher the collinearity, lower the value of determinant which inflates standard errors of regression coefficients (Option 3).
Correct option: (3) Higher the collinearity, lower the value of determinant which inflates the standard errors of regression coefficients
Explanation not matching this question?
क्या व्याख्या इस प्रश्न से मेल नहीं खा रही?
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