Word of the Week

Week #20 - Collinearity

In regression analysis , collinearity of two variables means that strong correlation exists between them, making it difficult or impossible to estimate their individual regression coefficients reliably.

The extreme case of collinearity, where the variables are perfectly correlated, is called singularity .

Promoting better understanding of statistics throughout the world.

The Institute for Statistics Education offers an extensive glossary of statistical terms, available to all for reference and research. To celebrate the International Year of Statistics in 2013, we will provide a statistical term every week, delivered directly to your inbox. Make it your New Year's resolution to improve your own statistical knowledge! Sign up here.

Improve my Statistical Knowledge!
Please enter first name.
Please enter last name.
Please enter valid E-mail.
Send me a "Stats Word of the Week".

Rather not have more email? Bookmark this page.

Improve my Statistical Knowledge!
Please enter first name.
Please enter last name.
Please enter valid E-mail.
Send me a "Stats Word of the Week"

What our students say:

"I know I am not the perfect student but I really am learning an awful lot and absolutely adore this module [Resampling Methods]. But it doesn't matter how I am doing, I still know I have already learnt a lot about something that I knew nothing about. Thank you for this opportunity and all the support received so far.”
S. Hurlburt
University of Canterbury
"I know I am not the perfect student but I really am learning an awful lot and absolutely adore this module [Resampling Methods]. But it doesn't matter how I am doing, I still know I have already learnt a lot about something that I knew nothing about. Thank you for this opportunity and all the support received so far.”
S. Hurlburt
University of Canterbury
"This course could serve as a model in the field."
G. Vidmar
Biostatistician, University of Ljubljana
"This course could serve as a model in the field."
G. Vidmar
Biostatistician, University of Ljubljana
"As a SAS programmer , I believe I will continue to use SAS for data manipulation but will utilize R when running models and exploring large data sets."
J. Kezik
Yale University
"As a SAS programmer , I believe I will continue to use SAS for data manipulation but will utilize R when running models and exploring large data sets."
J. Kezik
Yale University
© Statistics.com 2004-2013