Timeline for Rules of thumb for minimum sample size for multiple regression
Current License: CC BY-SA 3.0
3 events
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| Oct 12, 2015 at 17:03 | comment | added | Sos |
Could you please provide any reference for your suggested equation n=k(m+1)?
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| Jun 18, 2011 at 22:42 | comment | added | mark999 | You say 10 to 20 is good, but would this also depend on the size of the error variance (possibly relative to other things)? For example, suppose there was just one predictor variable. If it was known that the error variance was really tiny, then it seems that 3 or 4 data points might be enough to reliably estimate the slope and intercept. On the other hand, if it was known that the error variance was huge, then even 50 data points might be inadequate. Am I misunderstanding something? | |
| Jun 18, 2011 at 13:02 | history | answered | probabilityislogic | CC BY-SA 3.0 |