The variance of the error variable, $$\sigma _ { \varepsilon } ^ { 2 }$$ , is required to be constant. When this requirement is violated, the condition is called heteroscedasticity.

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This statement is true. Heteroscedasticity refers to a violation of the constant variance assumption, meaning that the variance of the error variable is not constant across all levels of the independent variable.

The Variance of the Error Variable σε2\sigma _ { \varepsilon } ^ { 2 }σε2​

The Variance of the Error Variable $\sigma _ { \varepsilon } ^ { 2 }$