Timeline for Will log transformation always mitigate heteroskedasticity?
Current License: CC BY-SA 4.0
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| Nov 27 at 4:41 | history | edited | User1865345 | CC BY-SA 4.0 |
added 6 characters in body
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| Nov 27 at 3:59 | comment | added | Glen_b | +1 being cone-shaped is necessary but not sufficient (taking log y with a cone whose vertex would not be at or very near the origin - so that conditional spread was not close to being proportional to conditional mean - would not work in general). It's still a good thing to look for, though because it is a striking feature and very often if there is a cone shape it is because spread is proportional to mean - and then the vertex would be at the origin. It's not too hard to get a rough sense of that from a plot. | |
| Jun 11, 2020 at 14:32 | history | edited | CommunityBot |
Commonmark migration
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| Mar 24, 2018 at 1:22 | history | answered | Ingolifs | CC BY-SA 3.0 |