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 - th
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
On 8/16/06, Anon. <[EMAIL PROTECTED]> 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 wit=
h
> > it...) of a
On 8/16/06, David Bryant <[EMAIL PROTECTED]> wrote:
>
> Bob,
>
> I have a similar question to Sarah's and it may even be the same;
> I'm using orthogonal regression to determine the equivalence of two
> variables, both with errors. I want to use the S.E. of the slope to
> compare to the optimum sl
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
1-903-791-3843
Homepage: 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
Sar
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 of environmental condition
Sarah - a "standard error" is the standard deviation of a statistic within a
sampling distribution. Most of the time we talk about the standard error of
the mean - but other statistics (i.e., parameter etimates), like a
regression slope, also have standard errors. So, yes, the se is the sd of
the
Bob,
I have a similar question to Sarah's and it may even be the same;
I'm using orthogonal regression to determine the equivalence of two
variables, both with errors. I want to use the S.E. of the slope to
compare to the optimum slope of one (equivalence among variable
responses). I co
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
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.
The context of this quest
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