Timeline for Linear regression and interpretation of random variables
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Dec 16, 2023 at 17:04 | comment | added | whuber♦ | @ThegoatKonan Thank you for noticing that. I have fixed this evident typographical error by changing "$X$" to "$\beta.$" | |
| Dec 16, 2023 at 17:04 | history | edited | whuber♦ | CC BY-SA 4.0 |
added 4 characters in body
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| Dec 16, 2023 at 3:41 | comment | converted from answer | The goat Konan | My contribution is to add a little correction on Digio contribution. First of all, thank for your answer, it is very clear. It is not a particular comment but the fact that it is not $ X $ we are going to find but the vector $\beta$ who minimize the quantity $$ \mathbb{E} [ (Y - X \beta )^ 2 | X ] $$ | |
| S Nov 23, 2018 at 10:24 | history | suggested | Digio | CC BY-SA 4.0 |
Minor grammar fixes
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| Nov 23, 2018 at 9:39 | review | Suggested edits | |||
| S Nov 23, 2018 at 10:24 | |||||
| Oct 9, 2016 at 0:13 | vote | accept | rannoudanames | ||
| Oct 9, 2016 at 0:13 | comment | added | rannoudanames | Alright!, I understand now why the prof mentioned that the ORM can be more appropriate when there is uncertainties with both variables. | |
| Oct 9, 2016 at 0:06 | history | answered | measure_theory | CC BY-SA 3.0 |