 For example, addition of quadratic functions of the original independent variables may lead to a linear relationship with expected value of "Y," resulting in a polynomial regression model, a special case of linear regression.Another assumption of linear regression is homoscedasticity, that is the variance of errors must be the same regardless of the values of predictors.If this assumption is violated (i.e.