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For ORDINARY LEAST SQUARES (OLS) assumptions to be met, the errors must exhibit constant variance. Such uniform variance is called homoskedasticity. If this assumption is not met, that is, if the errors exhibit nonuniform variance, the opposing condition of HETEROSKEDASTICITY obtains, ...

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