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

Learn how the line of best fit in regression analysis shows relationships between variables, how it's calculated, and its ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

The main purpose of this paper is to clarify relations and distinctions between several approaches suggested in the statistical literature for analysing structures in correlation matrices, i.e. of ...

This article develops a method of calculating iterative estimates of the coefficients of a set of linear regression equations. There are p equations such that the explanatory variables are ...

Martinez-Jerez, Francisco de Asis, and Ariel Andres Blumenkranc. "Using Regression Analysis to Estimate Time Equations." Harvard Business School Background Note 111-001, September 2010. (Revised ...

The Durbin Watson statistic is a number that tests for autocorrelation in the residuals from a statistical regression analysis.