Dennis Roberts wrote:
1. you could take several methods AT random (after you list out all 50) ...
This is the classical position, I think. However, in practice we
never require random sampling in order to treat people as random.
Clark argues ISTR that we should treat factors as random if
Hello. I am hoping that my question can be answered by a statistical
expert out there!! (which I am not). I am carrying out a multiple linear
regression with two independents. It seems that a square root
transformation of the dependent variable effectively decreases
heterocscedasticity
Case, Brad wrote:
Hello. I am hoping that my question can be answered by a statistical
expert out there!! (which I am not). I am carrying out a multiple linear
regression with two independents. It seems that a square root
transformation of the dependent variable effectively
there is nothing from stopping you (is there?) trying several methods that
are seen as sensible possibilities ... and seeing what happens?
of course, you might find a transformational algorithm that works BEST (of
those you try) with the data you have but ... A) that still might be an
optimal
If your beta coefficients are on different scales: like
you want to know whether temperature or pressure are affecting
your bread baking more,
Is the way to do this using Beta coefficients calculated
as Beta=beta*SDx/SDy
(SDx=standard deviation of each x)
(SDy=standard deviation of the
Thanks so much for the suggestions...
CCC
Vadim and Oxana Marmer [EMAIL PROTECTED] wrote in message
[EMAIL PROTECTED]">news:[EMAIL PROTECTED]...
Casella and Berger Statistical Inference is a very popular graduate
level textbook on the topic. It's not related to your field directly, but
it
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On Tue, 15 Jan 2002 23:06:25 GMT, janne [EMAIL PROTECTED] wrote:
Lets say I do a x2(chi) test and have the hypothesis:
[snip, some example]
If you can have in hypothesis, then when is it and when is it I
should use? How do I know which one to use?
I also wonder about t-tests the
On 16 Jan 2002 11:33:15 -0800, [EMAIL PROTECTED] (Wuzzy) wrote:
If your beta coefficients are on different scales: like
you want to know whether temperature or pressure are affecting
your bread baking more,
Is the way to do this using Beta coefficients calculated
as Beta=beta*SDx/SDy
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I have a big problem with this question:
A store that sells soda has noticed that the variation of selling is big
depending on the temperature. To get a opinion about the relationship
between the mean temperature and the sell of soda each day they make a
multiplicative regressionmodel.
sell(y)
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