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

Name: The variance of the error variable $\sigma _ { z } ^ { 2 }$ is required to be constant. When this requirement is satisfied, the condition is called homoscedasticity.
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Homoscedasticity refers to the condition where the variance of the error terms is constant across all levels of the independent variable(s) in a regression model.

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

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