One of the standard assumptions of the classical linear regression model
is that the variance of the error term is the same for all observations, that is . The assumption of a constant error variance is known as homoskedasticity and its failure is referred to as heteroskedasticity, or unequal variance. Heteroskedasticity is expressed as , where an i subscript on ...
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