The OLS estimator is derived by A. making sure that the standard error of the regression equals the standard error of the coefficient estimator. B. minimizing the sum of squared regression. C....


The OLS estimator is derived by<br>A. making sure that the standard error of the regression equals the standard error of the coefficient estimator.<br>B. minimizing the sum of squared regression.<br>C. minimizing the sum of squared error.<br>D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation.<br>Decat Celoction<br>O O<br>

Extracted text: The OLS estimator is derived by A. making sure that the standard error of the regression equals the standard error of the coefficient estimator. B. minimizing the sum of squared regression. C. minimizing the sum of squared error. D. connecting the Y; corresponding to the lowest X; observation with the Y; corresponding to the highest X; observation. Decat Celoction O O

Jun 06, 2022
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