Year and industry dummy

Hi, I want to run a fixed effect regression model with both year and industry fixed effect.

I would like to know if I am doing it correctly.

Code:

 xtreg mtd prof size tang growth liq dc1 dc2 dc3 dc4 i.year, fe

Fixed-effects (within) regression               Number of obs     =      4,820
Group variable: induscode                       Number of groups  =         10

R-sq:                                           Obs per group:
     within  = 0.2796                                         min =         80
     between = 0.5962                                         avg =      482.0
     overall = 0.2991                                         max =      1,630

                                                F(18,4792)        =     103.34
corr(u_i, Xb)  = 0.1301                         Prob > F          =     0.0000

------------------------------------------------------------------------------
         mtd |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        prof |  -.3832766   .0236579   -16.20   0.000    -.4296569   -.3368963
        size |   .0361722   .0020567    17.59   0.000     .0321402    .0402042
        tang |   .1248675   .0139474     8.95   0.000     .0975241    .1522108
      growth |  -.0083867   .0007413   -11.31   0.000    -.0098399   -.0069335
         liq |  -.0102962   .0004226   -24.37   0.000    -.0111247   -.0094678
         dc1 |   .0615475   .0095531     6.44   0.000     .0428191     .080276
         dc2 |   .0420181   .0074701     5.62   0.000     .0273732     .056663
         dc3 |   .0213741   .0079806     2.68   0.007     .0057284    .0370199
         dc4 |   .0781161   .0110077     7.10   0.000      .056536    .0996963
             |
        year |
       2009  |  -.0585273   .0120194    -4.87   0.000    -.0820909   -.0349637
       2010  |  -.0834637   .0120274    -6.94   0.000     -.107043   -.0598844
       2011  |  -.0741264   .0120149    -6.17   0.000    -.0976812   -.0505716
       2012  |  -.0744085   .0120271    -6.19   0.000    -.0979871   -.0508299
       2013  |  -.1149802    .012032    -9.56   0.000    -.1385683    -.091392
       2014  |  -.1233646   .0120518   -10.24   0.000    -.1469917   -.0997376
       2015  |  -.1275209   .0120579   -10.58   0.000    -.1511599    -.103882
       2016  |  -.1244362   .0120844   -10.30   0.000    -.1481271   -.1007453
       2017  |   -.132976   .0121247   -10.97   0.000    -.1567459   -.1092061
             |
       _cons |   .0220694   .0284766     0.78   0.438    -.0337578    .0778966
-------------+----------------------------------------------------------------
     sigma_u |  .07936114
     sigma_e |  .18634853
         rho |  .15352465   (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0: F(9, 4792) = 46.85                    Prob > F = 0.0000