On Fri, 14 Apr 2000, ethan arenson wrote:
> suppose you have a simple linear regression model, i.e.,
>
> y-hat = b0 + b1*x.
>
> Is it possible to partition the variance of the model into (1)
> variance due to estimating the coefficients, and (2) pure (random)
> variance?
Ummm.. Well, that's what linear regression DOES.
The associated analysis of variance reports (1) variance attributable to
the model and (2) residual variation -- which will be random variation in
the "pure" sense only if the model is "correct". Did you want some other
kind of partition? If so, you'll have to model it.
-- DFB.
------------------------------------------------------------------------
Donald F. Burrill [EMAIL PROTECTED]
348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED]
MSC #29, Plymouth, NH 03264 603-535-2597
184 Nashua Road, Bedford, NH 03110 603-471-7128
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