what is homoskedastic 
homoskedastic also spelled homoscedastic refers to a condition in which the variance of the residual or error term in a regression model is constant that is the error term does not vary much as the value of the predictor variable changes another way of saying this is that the variance of the data points is roughly the same for all data points this suggests a level of consistency and makes it easier to model and work with the data through regression a lack of homoskedasticity may suggest that the regression model may need to include additional predictor variables to explain the performance of the dependent variable 