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

Name: The variance of the error variable $\sigma _ { z } ^ { 2 }$ is required to be constant. When this requirement is violated, the condition is called heteroscedasticity.
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Heteroscedasticity occurs when the variance of the errors is not constant across observations, violating the assumption of homoscedasticity in regression analysis.

The Variance of the Error Variable σz2\sigma _ { z } ^ { 2 }σz2​

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