There are two commentaries in the current issue of Bioscience that I thought
worth considering, in the particular context of the current debate about the
teaching of evolution science in our schools
The first, by Ross H. Nehm, Faith-based Evolution Education? (638 BioScience
* August 2006 /
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.
The Environmental Protection Agency, Office of Atmospheric Programs,
Washington DC
Environmental Protection Specialist - ecology concentration (Ph.D)
Potential Salary Range: GS - 11/13
The Assessment and Communications Branch in the Clean Air Markets
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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
I wonder if it is time to stop calling it the Theory of Evolution and =
start calling it the Law of Evolution, and to stop referring to =
evolutionary theory and surplant that with evolutionary law.=20
=20
Lets face it, there has to be more evidence for evolution than there was =
for Gravity,
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 conditions
You can get teh Confidence interval and Prediction interval with most =
software. I know MiniTab does it for regression, can't recall if SPSS =
does it, but probably does. =20
=20
VISIT HERPETOLOGICAL CONSERVATION AND BIOLOGY www.herpconbio.org =
http://www.herpconbio.org=20
A New Journal
A summary of responses. Thank you for all the participation and =
apologies for the formatting. I tried to paste an image of a turtles =
plastron and a recommended notching technique. There is a citation for =
it below, if you want the actual image contact me directly.
Mike Nolan
I would think
One more
Mike Nolan
Four ways to ID turtles for mark/recapture are ; 1) place the turtle on =
a fllat bed scanner to enter unique marking images into a computer for =
future recapture comparasions. 2) Compare digital photographs upon each =
recapture.
3) before computers, turtles were
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
While we're on regression--I know this is a really dumb question and I =
should know the answer. But here goes, my ignorance on display:
In comparing some regressions to published ones, how do I test for =
significant difference in slope? I have calculated the 95% C.I. of my =
slope by using the
But Malcolm,
It is not the Theory of Evolution that is the theory, but rather the
Theory of Evolution BY NATURAL SELECTION that is the theory. While most
of us would agree that there is ample proof, it should also be understood
why it must be considered a theory and not a law. A law is
Your approach is valid ONLY IF you are willing to ignore the fact that the
slope to which you are comparing your slope is itself an estimate. That is
- you can use your CI to compare to a particular hypothesized value -
basically testing the hypothesis Ho: beta = beta_0, where beta_0 is some
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 slope of
A law is not universally true.
Newtons laws of motion are universally false (though usually close
enough to be useful). And Newtons laws are not even close to being true
near the speed of light.
Laws describe phenomena; they don't require explanation.
Theories explain phenomena, even if they
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The Department of Forestry at Michigan State University seeks a full-time
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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
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