Okay, mea culpa.

I think linear regression IS the proper method of
analyzing the data.  Back in my NP class (of course),
we were encouraged to use both para- and nonpara-
methods to see if we arrived at similar results.

Perhaps it was simply an exercise, but I would think
it could come in handy at times.
DW

--- Donald Burrill <[EMAIL PROTECTED]> wrote:
> Details, please.  Linear regression is a method of
> analysis, not a test.
> Having performed a regression, one might then be
> interested in testing
> whether the slope coefficient was different from
> some specified value,
> or in constructing a confidence interval around the
> slope, for one (or
> more) predictor(s);  and similarly for the
> intercept.
> 
> If you are asking whether there is a
> "non-parametric" analogue of linear
> regression that would provide an estimate of the
> slope of a line
> relating the response variable to the predictor, yes
> there is at least
> one.  Testing hypotheses about (e.g.) the _value_ of
> that slope would be
> more troublesome, though.
> 
> What did you actually have in mind that you wanted
> to do?
>  And why do you [apparently] assume that linear
> regression is not a way
> of doing it?
> 
> On Wed, 25 Jun 2003, Dianne Worth wrote:
> 
> > Does anyone know if there is a NP test to compare
> with
> > linear regression?
> 
> 
>
-----------------------------------------------------------------------
>  Donald F. Burrill                                  
>       [EMAIL PROTECTED]
>  56 Sebbins Pond Drive, Bedford, NH 03110           
>      (603) 626-0816
> 
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> .
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