Timeline for Logistic regression - what do parallel slopes mean?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
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| Dec 23, 2019 at 0:00 | history | tweeted | twitter.com/StackStats/status/1208900229044551680 | ||
| Dec 22, 2019 at 22:19 | history | became hot network question | |||
| Dec 22, 2019 at 15:21 | history | edited | COOLSerdash | CC BY-SA 4.0 |
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| Dec 22, 2019 at 14:50 | answer | added | COOLSerdash | timeline score: 5 | |
| Dec 22, 2019 at 14:22 | comment | added | Astarno | I read your response here as well: stats.stackexchange.com/questions/316801/… and did the testing for the slopes already. Maybe you could ellaborate on that response to say where I would read off the required information about the intercept or what would have to change about that test if that makes it easier. | |
| Dec 22, 2019 at 14:21 | comment | added | Astarno | Is there a way to statistically test this difference? I assume I can already hint at the conclusions you stated in your reply, but to really draw any concrete conclusions I would have to perform a test of some kind to support it. I'm using R if maybe you have an easy example/function I should look into. | |
| Dec 22, 2019 at 14:16 | comment | added | COOLSerdash | Parallel lines mean that the relationship between hours studied and the probability of succeeding is the same in the two courses (i.e. an hour more study increases the odds of success similarly for both courses). Lines that have different intercepts (i.e. one is higher than the other) means that the general probabiltiy of succeeding is higher in one course compared to the other. You could quantify that using estimated marginal means. | |
| Dec 22, 2019 at 14:05 | history | asked | Astarno | CC BY-SA 4.0 |