Timeline for How to calculate the specific Standard Error relevant for a specific point estimate within a linear regression?
Current License: CC BY-SA 3.0
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
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| Jun 18, 2016 at 1:53 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Oct 9, 2013 at 21:35 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Oct 9, 2013 at 17:18 | vote | accept | Sympa | ||
| Aug 16, 2013 at 21:48 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Aug 16, 2013 at 21:39 | history | edited | Glen_b | CC BY-SA 3.0 |
answered followup questions
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| Aug 16, 2013 at 16:41 | comment | added | Sympa | Glen b, thanks for a very informative answer. I am not sure if I understand your comments under 2). Why would variance bows in? I interpret that as large errors near the Mean with smaller errors away from the Mean. The bit of material I have read on the subject, suggests just the opposite... the bows out thing hourglass shape. Additionally, how would you define heteroskedasticity? And, what do you mean by the variance of unobserved errors? How can you measure those since they are unobserved? | |
| Aug 16, 2013 at 3:30 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Aug 16, 2013 at 1:49 | history | edited | Glen_b | CC BY-SA 3.0 |
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| Aug 16, 2013 at 1:38 | history | answered | Glen_b | CC BY-SA 3.0 |