Regression analysis is a statistical technique for estimating the relationship between a response variable (Y) and one or more independent explanatory variables (X's). Simple regression gives the relation between one Y and one X, multiple regression models the relation between one Y and multiple X’s and multivariate regression involves multiple Y’s.
Regression analysis is also called ‘curve fitting’, because it essentially fits an equation of a line (linear) or curve (non-linear) to the data that best explains the relationship between the Y’s and X’s. This is called a Regression equation. The Least squares or Maximum likelihood methods are commonly used to obtain the regression equation.
MoreSteam.com's Toolbox - Regression and Correlation Analysis - http://www.moresteam.com/toolbox/regression-analysis.cfm Multiple Regression from the StatSoft Online Textbook - http://www.statsoft.com/textbook/stmulreg.html One-hour recorded Webcast: "The Transactional Dilemma: Understanding Regression with Attribute Data" - http://www.moresteam.com/presentations/webcast-regression-analysis-attribute-data.cfm