Timeline for Diagonal straight lines in residuals vs fitted values plot for multiple regression
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Jul 30, 2012 at 14:06 | vote | accept | plotti | ||
| Jul 30, 2012 at 14:06 | |||||
| Jul 29, 2012 at 13:27 | comment | added | ttnphns | Sure, your answer contributed a lot, for me. | |
| Jul 29, 2012 at 13:05 | comment | added | gung - Reinstate Monica | @ttnphns, I missed that part of your answer when I skimmed it; I saw the "constant" & saw the points in your plot, & that's what I took away. Yes, "it's a constant in a dimension... " is logically synonymous w/ "is exactly linearly dependent... ". I now realize that my core point is largely the same as yours (+1), although I think some of my other points (re which data are likely the culprit, R strategies, robust approaches, etc) still contribute something to the discussion. | |
| Jul 29, 2012 at 7:11 | comment | added | ttnphns |
Can this your statement it's a constant in a dimension at an angle to your original axes be comparable with my is exactly linearly dependent on the predictor(s), or you mean something different?
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| Jul 28, 2012 at 19:23 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
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| Jul 28, 2012 at 18:53 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
added 88 characters in body
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| Jul 28, 2012 at 18:47 | history | answered | gung - Reinstate Monica | CC BY-SA 3.0 |