Timeline for Why is it important to make a distinction between "linear" versus "non-linear" regression?
Current License: CC BY-SA 3.0
13 events
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| Jan 30, 2023 at 23:15 | comment | added | Alexis | I am unclear on the difference between your model 3 and $E[Y | X] = \beta_0 + \left(\sqrt{\beta_1}\right)^2 X$. Is your model 3 supposed to be constrained by a previous estimate of your model 1? Or did you mean to provide an example like $E[Y | X] = \beta_0 + \left(\beta_1\right)^{2X}$ or…? | |
| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Dec 31, 2015 at 18:38 | answer | added | meh | timeline score: 1 | |
| Dec 30, 2015 at 19:11 | answer | added | Harvey Motulsky | timeline score: 2 | |
| Dec 27, 2015 at 6:47 | history | tweeted | twitter.com/StackStats/status/681003486054608896 | ||
| Dec 27, 2015 at 5:00 | answer | added | Ott Toomet | timeline score: 5 | |
| Dec 27, 2015 at 2:15 | history | edited | Ashley Naimi | CC BY-SA 3.0 |
edited body
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| Dec 27, 2015 at 2:11 | comment | added | Ashley Naimi | @Tim, thanks for the comment. I was aware of this transformation as a possibility, but was trying to ask a somewhat different question. I have substantially edited the question, hopefully for the better. | |
| Dec 27, 2015 at 2:10 | history | edited | Ashley Naimi | CC BY-SA 3.0 |
added 1141 characters in body
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| Dec 26, 2015 at 21:11 | history | edited | gung - Reinstate Monica | CC BY-SA 3.0 |
clarified question in title; removed tag; formatted link; edited
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| Dec 26, 2015 at 21:02 | comment | added | Tim | If you want to estimate $E[Y|X] = \beta_0 + \beta_1^2 X$, simply estimate $E[Y|X] = \beta_0 + \gamma X$ (simple linear regression) and then take $\beta_1 = \sqrt{\gamma}$... | |
| Dec 26, 2015 at 20:54 | review | First posts | |||
| Dec 26, 2015 at 21:11 | |||||
| Dec 26, 2015 at 20:49 | history | asked | Ashley Naimi | CC BY-SA 3.0 |