Xycoon logo
Multiple Regression
Home    Site Map    Site Search    Xycoon College    Free Online Software    
horizontal divider
vertical whitespace

Multiple Regression

[Home] [Up] [Introduction] [Criterion] [OLS] [Assumptions] [Inference] [OLS] [MLE] [Multiple Regression]


The Multiple Linear Regression Model is an generalization of the Simple Linear Regression Model that was described in the previous sections.

The mathematical treatment of the Simple Linear Regression Model was based upon "standard" algebra. Due to the complexity of the Multiple Regression Model, it is necessary to make use of Elementary Matrix Algebra such that the formal derivations remain compact - hence more "readable".

The multiple regression model is explained in the context of two statistical approaches:

bullet

the Ordinary Least Squares approach to multiple regression

bullet

the Maximum Likelihood Estimation approach to multiple regression
vertical whitespace




Home
Up
Introduction
Criterion
OLS
Assumptions
Inference
OLS
MLE
Multiple Regression
horizontal divider
horizontal divider

© 2000-2009 - Office for Research, Development, and Education (called ORDE) - All rights reserved. This website is published by ORDE and owned by Resa R&D. This includes: html content, graphical illustrations (gif, jpg, and png files), computer software, online or electronic documentation, associated media, and printed materials. All Photographs (jpg files) are the property of Corel Corporation, Microsoft and their licensors. ORDE has acquired a non-transferable license to use these pictures in this website.
The free use of the scientific content in this website is granted for non commercial use only. In any case, the source (url) should always be clearly displayed. Under no circumstances are you allowed to reproduce, copy or redistribute the design, layout, or any content of this website (for commercial use) including any materials contained herein without the express written permission of ORDE.

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. ORDE uses reasonable efforts to include accurate and timely information and periodically updates the information without notice. However, ORDE makes no warranties or representations as to the accuracy or completeness of such information, and it assumes no liability or responsibility for errors or omissions in the content of this web site. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall ORDE be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.

Contributions and Scientific Research: Prof. Dr. E. Borghers, Prof. Dr. P. Wessa
Please, cite this website when used in publications: Xycoon (or Authors), Statistics - Econometrics - Forecasting (Title), Office for Research Development and Education (Publisher), http://www.xycoon.com/ (URL), (access or printout date).
Facilities, development, and design: Office for Research, Development, and Education

Comments, Feedback, Bugs, Errors | Privacy Policy Web Awards