Recall that an important assumption of the linear regression model is that the errors (residuals) are normally distributed. That means some of the residuals are positive, some are negative, but most ...

Estimating Coefficients and Predicting Values. The equation y = mx +b represents the most basic linear regression equation:. x is the predictor or independent variable; y is the dependent variable ...