When the Variance $\sigma _ { \varepsilon } ^ { 2 }$

Short Answer

When the variance, $\sigma _ { \varepsilon } ^ { 2 }$ , of the error variable $\varepsilon$ is a constant no matter what the value of x is, this condition is called: $\begin{array}{|l|l|}\hline\text { A. } & \text {homocausality. }\\\hline \text { B. } & \text {heteroscedasticity. } \\\hline \text { C. } &\text {homoscedasticity. }\\\hline \text { D. } &\text {heterocausality. }\\\hline\end{array}$