The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

Last month we explored how to model a simple relationship between two variables, such as the dependence of weight on height 1. In the more realistic scenario of dependence on several variables, we can ...

Despite its limitation in exploring nonlinear structures, multiple linear regression (MLR) still retains its popularity among the practitioners. This is mainly because of the several seemingly ...