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Regression Analysis

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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.

See Also

Multiple Regression
Regression Coefficient
Correlation Analysis

External Links's Toolbox - Regression and Correlation Analysis - Multiple Regression from the StatSoft Online Textbook - One-hour recorded Webcast: "The Transactional Dilemma: Understanding Regression with Attribute Data" -