Heteroscedasticity

Heteroscedasticity refers to a situation in statistical models where the variability of the errors (the difference between the predicted and actual values) is not constant across the range of the predictor variables. This violates the assumption of homoscedasticity, which is required for many statistical techniques to be valid.