Hi Geoff - just have a quick minute.. so, I'll hazard a response without
thinking about it too much :)
On 8/16/06, Geoffrey Poole [EMAIL PROTECTED] wrote:
Doesn't sqrt(SSx) increase with n? If so, won't the standard error of
the slope decrease with increasing sample size??
Yes - the
Sarah Gilman wrote:
Is it possible to calculate the standard deviation of the slope of a
regression line and does anyone know how? My best guess after
reading several stats books is that the standard deviation and the
standard error of the slope are different names for the same thing
time,
David
David M Bryant Ph D
University of New Hampshire
Environmental Education Program
Durham, NH 03824
[EMAIL PROTECTED]
978-356-1928
On Aug 16, 2006, at 9:39 AM, Anon. wrote:
Sarah Gilman wrote:
Is it possible to calculate the standard deviation of the slope of a
regression line
Anon. wrote:
Sarah Gilman wrote:
Is it possible to calculate the standard deviation of the slope of a
regression line and does anyone know how? My best guess after
reading several stats books is that the standard deviation and the
standard error of the slope are different names
: https://www.eagle.tamut.edu/faculty/mmccallum/index.html
=20
From: Ecological Society of America: grants, jobs, news on behalf of =
Anon.
Sent: Wed 8/16/2006 8:39 AM
To: ECOLOG-L@LISTSERV.UMD.EDU
Subject: Re: standard deviation of a slope
Sarah Gilman wrote
Geoffrey Poole wrote:
Sarah:
I think the reviewer comment has merit.
I understand your problem as follows: Your goal is to compare the
usefulness (not sure what you means by usefulness, but we'll go with
it...) of a regressions across environmental conditions. However, under
one set
:39 AM, Anon. wrote:
Sarah Gilman wrote:
Is it possible to calculate the standard deviation of the slope of a
regression line and does anyone know how? My best guess after
reading several stats books is that the standard deviation and the
standard error of the slope are different names
Geoffrey Poole wrote:
Zar notes that the standard error of estimate (AKA standard error
of the regression) is a measure of the remaining variance in Y
*after* taking into account the dependence of Y on X.
Bob O'Hara wrote:
Zar says that? That's rubbish: the residual variance is the
