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Sep 16, 2021 at 15:00 history duplicates list edited kjetil b halvorsen duplicates list edited from Is multicollinearity really a problem? to When can we speak of collinearity, How multicolinearity affect the prediction, Is multicollinearity an issue when doing stepwise logistic regression using AIC and BIC?, Is multicollinearity really a problem?
Sep 16, 2021 at 14:55 history closed kjetil b halvorsen Duplicate of Is multicollinearity really a problem?
Sep 16, 2021 at 14:46 history edited kjetil b halvorsen
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Sep 15, 2021 at 19:46 comment added whuber That's a problem with the algorithm, not the statistical procedure.
Sep 15, 2021 at 18:31 comment added thomaspane The question was asked by the interviewer and the interviewee answered with both features can be left to which the interviewer said was correct. Feeding features that are highly correlated into my logit model in SAS causes the convergence criteria to fail which states that the model coefficients cannot be trusted. @Dave
Sep 15, 2021 at 18:27 comment added Dave Did you or the interviewer (or answer key) say that both features can be fed into the model? // Why eliminate correlated features, even when the correlation is positive?
Sep 15, 2021 at 18:27 comment added thomaspane Yes exactly. @Dave
Sep 15, 2021 at 18:26 comment added Dave Do you mean that $r_{XY} = -0.9?$
S Sep 15, 2021 at 18:24 review First questions
Sep 15, 2021 at 18:27
S Sep 15, 2021 at 18:24 history asked thomaspane CC BY-SA 4.0