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date: 06 March 2021

Collinearity 

Source:
A Dictionary of Epidemiology
Author(s):

Miquel Porta

The presence of very strong linear relationship between two or more Regressor variables in a Regression model. Collinearity is a concern when the correlation between the regressors nears −1 or 1; it can then can result in inflated variances for the estimated coefficients, and (in nonlinear models) bias in the estimated coefficients. A common solution in such situations is to remove one of the collinear variables from the model, although this can lead to ... ...

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