Chapter 6: Multiple Regression Model

Related links:

FR 5218 - Regression Refresher
This site, designed to accompany Thomas E. Burk's course on "Assessment and Modeling of Forests" at the University of Minnesota, contains an overview of the multiple regression model.

A statistical package consisting of a collection of Java applets. A student edition that allows the estimation of models with up to 10 variables and 100 observations may be accessed over the internet or may be downloaded for free from this site. This package estimates basic regression models.

Multiple Linear Regression (Stefan Waner and Steven R. Costenoble)
A JavaScript applet that estimates the parameters of a multiple linear regression model for up to 16 observations on 4 independent variables. While this limited sample size makes it impractical to use this for any applied econometric problems, it is an interesting example of a clever bit of JavaScript programming.

Egwald Statistics - Multiple Regression
This online regression package, created by Elmer G. Wiens, allows the user to estimate multiple regression models online (including models with parameter restrictions).
John Kane -
Department of Economics, SUNY-Oswego, Oswego, NY 13126