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Klein,

Your approach is to test difference between the intercepts or constant terms
not slopes.

In article <364AE8AF.B30A8809@j51.com>,
  yklein@j51.com wrote:
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> If the null hypothesis is that the samples for men and women are drawn from
the
> same
> underlying population (i.e., common variance), why not use a dummy variable,
say
> Z =
> 1*X for men and 0*X for women.
>
> Then Y = a + bX + cZ; where the slope for men = b+c and the slope for women=c.
> Do a t-test on c to see if it is significantly different from zero; if so,
reject
> H0.
>
> Javier wrote:
>
> > Hi,
> >
> > I want to know how to perform a test for the hypotheses:
> >
> > H0: The slope b in the regression curve Y=a+bX (for population A=men)
> >
> > is equal to the slope in the regression curve Y=a+bX (for population
B=women)
> >
> > versus H1: they are different
> >
> > Is there a simple way to do it in SAS/STAT? (I mean using REG, GLM or other
> > procedures)
> >
> > Thanks in advance
> >
> > Javier
>
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> org:            Brooklyn College
> email;internet: yklein@j51.com
> title:          Associate Professor of Economics
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