Timeline for Logistic regression with only one variable?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Oct 24, 2020 at 19:12 | vote | accept | Paze | ||
| Jan 4, 2020 at 18:35 | comment | added | Alexis |
Incidentally, you can do this with regress, ologit, etc. In all cases you get an intercept only model: a heavy-handed way to characterize the mean/proportion, etc. of the dependent variable. Contrast mean a with regress a with Odds/(Odds+1) from your output above.
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| Jan 4, 2020 at 0:40 | history | became hot network question | |||
| Jan 3, 2020 at 17:44 | answer | added | AdamO | timeline score: 12 | |
| Jan 3, 2020 at 16:54 | comment | added | Paze | Edited my answer, does this suffice? | |
| Jan 3, 2020 at 16:53 | history | edited | Paze | CC BY-SA 4.0 |
added 91 characters in body
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| Jan 3, 2020 at 16:50 | comment | added | EdM | It might be just fitting the null model (intercept only, log-odds of being in the class of interest). To verify, please edit your question to show the class breakdown of your binary variable a and the output from the command you ran. | |
| Jan 3, 2020 at 16:39 | history | asked | Paze | CC BY-SA 4.0 |