Hi all,

In my regression, the dependent variable is log-transformed (wdealsize).

Code:
Linear regression                               Number of obs     =        150
                                                F(35, 73)         =      14.50
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3877
                                                Root MSE          =     2.0892

                                (Std. Err. adjusted for 74 clusters in companyno)
---------------------------------------------------------------------------------
                |               Robust
      wdealsize |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------+----------------------------------------------------------------
         lagldf |   4.528605   2.370172     1.91   0.060    -.1951407    9.252351
        lagprof |   13.36013   3.440691     3.88   0.000     6.502839    20.21741
         lagmtb |   1.350247   .5355359     2.52   0.014      .282925    2.417568
        lagsize |   1.157787   .4421126     2.62   0.011     .2766577    2.038916
          lagsr |   .1761364   .1127095     1.56   0.122    -.0484934    .4007662
          lagcr |     1.1887    1.86192     0.64   0.525    -2.522101    4.899501
     1.serialac |  -.5547087   .3020776    -1.84   0.070    -1.156749    .0473311
 1.crossbordern |   .0602353   .4559033     0.13   0.895    -.8483787    .9688492
1.targetpublicn |   .6101345   .4263404     1.43   0.157    -.2395607     1.45983
      1.diversn |   .2126942   .4710001     0.45   0.653    -.7260076    1.151396
I want to see the impact of "lagldf" on "wdealsize". So I take the exponential of the coefficient:

Code:
. display exp(4.528605)
92.629253
After this point I don't understand how to proceed with the interpretation. Can you help me with this?

Many thanks.