Timeline for Relationship between regressing Y on X, and X on Y in logistic regression
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Aug 4, 2013 at 17:10 | vote | accept | Guest | ||
| Aug 3, 2013 at 19:55 | answer | added | whuber♦ | timeline score: 6 | |
| Aug 3, 2013 at 18:48 | comment | added | whuber♦ | Just to be clear: it seems the question makes sense only in the case where (a) there is a single predictor $X$ (in addition to the implicit constant) and (b) $X$ is a binary variable. Otherwise, logistic regression of $X$ against $Y$ cannot be done. | |
| Aug 3, 2013 at 18:02 | comment | added | Guest | @gung thanks for the reference! I found your explanation of the linear case very lucid, but my question is how much of it carries over to the non-linear case of logistic regression. | |
| Aug 3, 2013 at 15:07 | answer | added | gung - Reinstate Monica | timeline score: 6 | |
| Aug 3, 2013 at 14:57 | comment | added | gung - Reinstate Monica | Although you already seem to understand the correlation / linear regression case, you may (or may not) still find it interesting to read my answer here: What is the difference between linear regression on y with x and x with y?, which discusses that issue. | |
| Aug 3, 2013 at 14:53 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
clarified question in title; formatted; light editing
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| S Aug 3, 2013 at 14:32 | history | suggested | Eric Peterson | CC BY-SA 3.0 |
improved formatting
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| Aug 3, 2013 at 14:14 | review | Suggested edits | |||
| S Aug 3, 2013 at 14:32 | |||||
| Aug 3, 2013 at 14:07 | review | First posts | |||
| Aug 3, 2013 at 14:17 | |||||
| Aug 3, 2013 at 13:51 | history | asked | Guest | CC BY-SA 3.0 |