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by SubiculumCode
2984 days ago
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Keeping just to linear regression. If those variables are measuring the same construct, pick the best one or use a method to combine their scores. If they measure different constructs but are very correlated, then you'd need to drop one..depending on the variance inflation factor...which you can test for. As the article mentions however, there are regression methods meant for these situations (e.g. ridge regression). |
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