Therefore solution to this problem is the given statement is true .
The generalization of ordinary least squares and linear regression known as weighted least squares (WLS), sometimes known as weighted linear regression, incorporates knowledge of the variance of the observations into the regression. Generalized least squares is also a specialization of WLS.
Here,
the generalized least squares estimators for correcting heteroskedasticity are also called weighed least squares estimators.
Since they are also known as weighed least squares estimators, extended least squares estimators for correcting heteroskedasticity use least squares estimation.
Therefore , the above statement is true .
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