ABSTRACT
Heteroskedasticity literally means different (hetero) spread (skedasticity). It occurs when the error terms from a regression do not all have the same variance. This is a direct violation of assumption 4 of the Classical Linear Regression Model which states that the error terms all have the same variance: E[u¡2] = E[UJ2] = a2.
