Question:

Given the assumptions of the classical linear regression model, the ordinary least square estimators possess some optimum properties-given in the Gauss-Markov theorem. Which of the following is not a part of this theorem?

Updated On: Mar 12, 2024
  • The slope estimator β^2\hat{\beta}_2 is a linear function of random variables
  • The expected value of β^2\hat{\beta}_2 is equal to zero
  • No linear unbiased estimator has lower variance than that of β^2\hat{\beta}_2
  • The estimator β^2\hat{\beta}_2 is an unbiased estimator of β^2\hat{\beta}_2
Hide Solution
collegedunia
Verified By Collegedunia

The Correct Option is B

Solution and Explanation

The correct answer is (B) : The expected value of β^2\hat{\beta}_2 is equal to zero.
Was this answer helpful?
0
0

Top Questions on Linear regression

View More Questions