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 ...

We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

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 ...

This is a preview. Log in through your library . Abstract Simultaneous procedures for variable selection in multiple linear regression have recently been given by Aitkin. One of these procedures, ...