Hi forum!
I'm studying the interaction terms of my linear multiple regression (continuous variables). First, I centered my predictors and then I run the multiple regression including the interaction term.
Then, I used the "interactplot" command in order to visualize a graph.
How Can I interpret this graph?
Code:
 regress consumilog centered_disoccup centered_inattività centered_retrib centered_com
> pfam c.centered_retrib#c.centered_compfam
[ATTACH]temp_17788_1587279907338_256[/ATTACH]
      Source |       SS       df       MS              Number of obs =     107
-------------+------------------------------           F(  5,   101) =  172.04
       Model |  5.48573947     5  1.09714789           Prob > F      =  0.0000
    Residual |  .644100372   101  .006377231           R-squared     =  0.8949
-------------+------------------------------           Adj R-squared =  0.8897
       Total |  6.12983984   106  .057828678           Root MSE      =  .07986

-------------------------------------------------------------------------------------
         consumilog |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
  centered_disoccup |  -.0115943   .0027543    -4.21   0.000    -.0170582   -.0061305
centered_inattività |  -.6253984   .0794568    -7.87   0.000    -.7830192   -.4677775
    centered_retrib |   .5686091   .1519002     3.74   0.000       .26728    .8699382
   centered_compfam |   .0270871     .01376     1.97   0.052    -.0002091    .0543833
                    |
  c.centered_retrib#|
 c.centered_compfam |   .3465589   .1251091     2.77   0.007     .0983762    .5947417
                    |
              _cons |   7.726971    .009743   793.08   0.000     7.707644    7.746299
-------------------------------------------------------------------------------------
Code:
interactplot, cme
Graph.gph