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

Name: The variance of the error variable, \[\sigma _ { \varepsilon } ^ { 2 }\] , is required to be constant. When this requirement is satisfied, the condition is called homoscedasticity.
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Question

Quizplus · Accepted Answer

Homoscedasticity means that the variance of the error variable is constant. Therefore, the statement is true.

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

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