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Transforming from logit to probabilities in logistic regression models facilitate the interpretation when terms are additive. But, what about interactions?

How can I interpret probabilities when terms include interactions between continuous predictors, just as the same way as interpreting logit relations?

Sergio Nolazco
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    or http://stats.stackexchange.com/questions/57031/ – Maarten Buis Oct 05 '16 at 08:19
  • Seems like this is a duplicate of those two combined. Not sure how to mark that. Maybe an answer referencing those two threads? – Peter Flom Oct 05 '16 at 11:36
  • @PeterFlom I've seem that before, can't find an example right now, but can you edit the message like in http://meta.stackexchange.com/a/122417/332725 ? – Firebug Oct 15 '16 at 01:53

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