Homoscedasticity

Homoscedasticity is the condition that a collection of random variables has a common variance. In a regression model, the errors are homoscedastic when

for every observation , where denotes the predictor data. The constant-variance assumption is used in the usual standard error formulas for ordinary least squares fitting. Its failure is heteroscedasticity.