Timeline for Adjusted R2 for model with only one independent variable?
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| May 15, 2019 at 12:08 | vote | accept | user31527 | ||
| May 14, 2019 at 12:09 | history | became hot network question | |||
| May 14, 2019 at 10:13 | answer | added | user247233 | timeline score: 2 | |
| May 14, 2019 at 10:13 | comment | added | Richard Hardy | $R^2_{adj.}$ is an unbiased estimator of the population $R^2$ under the null hypothesis that all the variables have zero slopes in population, which is not a very interesting case. $R^2_{adj.}$ is not necessarily unbiased in other, more interesting cases, and whether one should prefer $R^2_{adj.}$ to $R^2$ or not depends on the true slopes. | |
| May 14, 2019 at 10:11 | history | edited | Richard Hardy |
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| May 14, 2019 at 9:20 | answer | added | kjetil b halvorsen♦ | timeline score: 2 | |
| May 14, 2019 at 8:38 | history | asked | user31527 | CC BY-SA 4.0 |