HomeInstructional AidsDownload SoftwareAbout Us

Click for more information

Applied Statistics Handbook
Table of Contents | Purchase Info

StatBookInfo3.jpg (3862 bytes)

 

Adjusted R2

 

Adjusted R2 is used to compensate for the addition of variables to the model.  As more independent variables are added to the regression model, unadjusted R2 will generally increase but there will never be a decrease.  This will occur even when the additional variables do little to help explain the dependent variable.  To compensate for this, adjusted R2 is corrected for the number of independent variables in the model.  The result is an adjusted R2 than can go up or down depending on whether the addition of another variable adds or does not add to the explanatory power of the model.  Adjusted R2 will always be lower than unadjusted.

 

It has become standard practice to report the adjusted R2, especially when there are multiple models presented with varying numbers of independent variables.

 

 

 

 

                            

 


Google

 

Product Brochure  |  Workbook | Stat Handbook | Links | Site License | Documentation | Updates  | Privacy | Contact Us | About Us  

Copyright 2012, AcaStat Software. All Rights Reserved.

Mac and the Mac logo are trademarks of Apple Inc. Windows and the
Windows logo are trademarks of Microsoft Corp. Both are
registered in the U.S. and other countries.