Which one of the following statements is true for a linear regression model with non-spherical disturbances (i.e. E(uu') = Ω): The GLS estimator is inefficient. The OLS estimator is inefficient. The OLS estimator covariance matrix is diagonal. The GLS estimator covariance matrix is block-diagonal. All of the above. None of the above.

Answer : Option (f) ✔️ None of the above

Answered: Which one of the following statements…

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter5: A Survey Of Other Common Functions

Section5.6: Higher-degree Polynomials And Rational Functions

Problem 1TU: The following fictitious table shows kryptonite price, in dollar per gram, t years after 2006. t=...

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Which one of the following statements is true for a linear regression model with non-spherical disturbances (i.e. E(uu') = Ω):

		The GLS estimator is inefficient.
		The OLS estimator is inefficient.
		The OLS estimator covariance matrix is diagonal.
		The GLS estimator covariance matrix is block-diagonal.
		All of the above.
		None of the above.

Definition Definition Measure of how two random variables change together. Covariance indicates the joint variability or the directional relationship between two variables. When two variables change in the same direction (i.e., if they either increase or decrease together), they have a positive covariance. When the change is in opposite directions (i.e., if one increases and the other decreases), the two variables have a a negative covariance.

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