Assumption of the Ordinary Least Squares Model
penalizes large errors more than small errors. This trait arises because of the objective of OLS to minimize the sum of squared residuals. ... E. Because we do not know the true variance, , we replace the true variance with an estimated variance, . Concluding Remarks. This reading assignment has formalized the assumptions necessary to derive ... ................
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