The interaction means the the slope of one variable (say X1) varies as a
linear function of the second variable (say X2). Something you might do is
to estimate the effect of X1 at selected values of X2 (e.g., at -2SD, at
-1SD, at the mean, at +1SD, at +2SD). The selected values of X2 may be
guided by theory. You might also plot the slope of X1 at selected values of
X2. Of course, the interaction also implies that the effect of X2 varies as
a linear function of X1. But in general, substantive considerations will
serve as a guide us here. For example, we might be interested in describing
how the effect of depression on drug use is conditioned on age. But we
probably wouldn't be interested in how the effect of age on drug use is
conditioned by depression.
-----Original Message-----
From: [email protected]
[mailto:[email protected]]On Behalf Of stata_user
stata_user
Sent: Wednesday, September 20, 2006 11:59 AM
To: [email protected]
Subject: st: interaction between two continuous variables
Hi,
I have the following model y continuous , x1 x2 continuous
I do a regression with
reg y cx1 cx2 cx1*cx2
with
cx1= x1 -mean (x1)
cx2= x2 -mean (x2)
both the paramters of cx1 and cx2 are signficants , which mean that the
slope of x2 is signficant for x1=mean (x1)
the paramter of cx1*cx2 is also signficant
How to interpret the parameter of cx1*cx2 ?
My first interpretation is that there are at least two values of x1 , where
the slopes of x2 are not parallels
but how to know, that the slope of x2 for a given value of x1=a is
signficant?
like using a lincom command
Any comments, please
Thanks
Sami
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