4. Consider the variance specification Var(e) = of ox,, can this be used to eliminate heteroskedasticity...

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4. Consider the variance specification Var(e) = of o²x,, can this be used to eliminate heteroskedasticity in the linear regression model ?, i.e.. ŷ= 78.684 + 10.451 (se) (23.789) (1.386) Compute the squares of the residuals from the transformed model used to obtain the estimates above. Regress the squares of the residuals on r, and test for heteroskedasticity. 4. Consider the variance specification Var(e) = of o²x,, can this be used to eliminate heteroskedasticity in the linear regression model ?, i.e.. ŷ= 78.684 + 10.451 (se) (23.789) (1.386) Compute the squares of the residuals from the transformed model used to obtain the estimates above. Regress the squares of the residuals on r, and test for heteroskedasticity.