Heteroscedasticity

A random variable is said to be heteroscedastic when different subpopulations have different variabilities (standard deviation). One of the basic assumptions of linear regression is that the data should be homoscedastic, i.e.,¬†heteroscedasticity is not present in the data. Due to the violation of assumptions, the Ordinary Least Squares (OLS) estimators…

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