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Binary Logistic Regression checks for multicollinearity

Troubleshooting


Problem

I'm using the binary Logistic Regression procedure in SPSS, requesting the Backwards LR method of predictor entry. Does this procedure have any mechanism for assessing multicollinearity among the predictors and removing collinear predictors before the Backward LR selection process begins? Is there a user-controlled criterion for the degree of collinearity to be accepted, such as the TOLERANCE criterion used in Linear Regression?

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Historical Number

26127

Document Information

More support for:
IBM SPSS Statistics

Software version:
Not Applicable

Document number:
420213

Modified date:
16 April 2020

UID

swg21479524

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