Hi all,

I'm fitting a simple OLS-model including an interaction term. To interpret the interaction I compute AMEs:

Code:
reg ITL OS LFR GD IW CWL LS noempl i.sex i.poor_srh cheftot c.CV##i.function
margins, dydx(CV) at (function=(1 2 3))
marginsplot
Here is the output:

Code:
Average marginal effects                        Number of obs     =        220
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : CV

1._at        : function      =           1

2._at        : function      =           2

3._at        : function      =           3
------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
CV           |
         _at |
          1  |   .3672521   .1679337     2.19   0.030     .0361438    .6983604
          2  |   .0134818   .1664265     0.08   0.936    -.3146549    .3416185
          3  |   .4481599   .2125448     2.11   0.036     .0290936    .8672261
------------------------------------------------------------------------------


My question is a basic and general one - I'm wondering whether I can conclude that "the effect of CV depends on function group"? What makes me doubt such a conclusion is the fact that, while the effect of CV is only significant in two of the function groups, all three CIs overlap each other?

Best,
Caroline