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What is the reason that ignoring the multicolinearity can be problematic when we con- struct a MLR model? One of the ways for detecting the multicolinearity is the Condition Number. What is the definition of the Condition Number and what is the difference between using correlation matrix and condition number for detecting multicollinearity?

What is the reason that ignoring the multicolinearity can be problematic when we con- struct a MLR model? One of the ways for detecting the multicolinearity is the Condition Number. What is the definition of the Condition Number and what is the difference between using correlation matrix and condition number for detecting multicollinearity?

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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What is the reason that ignoring the multicolinearity can be problematic when we con- struct a MLR model? One of the ways for detecting the multicolinearity is the Condition Number. What is the definition of the Condition Number and what is the difference between using correlation matrix and condition number for detecting multicollinearity?
Transcribed Image Text:What is the reason that ignoring the multicolinearity can be problematic when we con- struct a MLR model? One of the ways for detecting the multicolinearity is the Condition Number. What is the definition of the Condition Number and what is the difference between using correlation matrix and condition number for detecting multicollinearity?
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