Timeline for What are the myths associated with linear regression, data transformations?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 15, 2022 at 19:43 | comment | added | BigBendRegion | Elaboration: the behaviour I indicated easily occurs when $Y$ is highly discrete. | |
| Feb 6, 2022 at 19:13 | comment | added | Dave | Without further elaboration, this one seems to be wrong. | |
| Feb 5, 2022 at 22:53 | comment | added | whuber♦ | That doesn't clarify anything. Also, since many sources state the opposite of this answer, some explanation is needed! | |
| Feb 5, 2022 at 22:41 | comment | added | BigBendRegion | It's all just textbook stuff. | |
| Feb 5, 2022 at 21:53 | comment | added | whuber♦ | This needs elaboration: which "normality assumption" are you referring to and why do you call this a "myth"? One overarching problem is that your assertion is completely qualitative and subjective: how are we intended to understand "nicely bell-shaped," "very close to .. straight," and "reasonable"? Readers might be surprised but not enlightened. | |
| S Feb 5, 2022 at 21:16 | history | answered | BigBendRegion | CC BY-SA 4.0 | |
| S Feb 5, 2022 at 21:16 | history | made wiki | Post Made Community Wiki by BigBendRegion |