Heteroskedasticity is a violation of which assumption of the MR model? A)The values of each x_ik are not random and are not exact linear functions of the other explanatory variables B)var(y_i. )= var(e_i)= $\sigma$² C)E(y_i)= $\beta$₁ + $\beta$₂x_i2 + $\beta$₃x_i3 + …….+ $\beta$_kx_ik,⟺E(e_i)= 0 D)cov(y_i,y_j)= cov(e_i,e_j)= 0; (i≠j)

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Heteroskedasticity is a violation of the assumption that the variance of the error term is constant across all values of the explanatory variables. Option B specifically states this assumption.

Heteroskedasticity Is a Violation of Which Assumption of the MR σ\sigmaσ

Heteroskedasticity Is a Violation of Which Assumption of the MR $\sigma$