Hello and good day, I estimate through a cross-sectional model and I did one by one estimation . I want to do two different plots.
1) coefplot based on the following regressions:
Code:
. reg fertility lngdpper Unemployment WPUI StringencyIndex

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(4, 125)       =     54.44
       Model |  43.5590529         4  10.8897632   Prob > F        =    0.0000
    Residual |  25.0034792       125  .200027834   R-squared       =    0.6353
-------------+----------------------------------   Adj R-squared   =    0.6236
       Total |  68.5625321       129  .531492497   Root MSE        =    .44724

---------------------------------------------------------------------------------
      fertility | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
       lngdpper |  -.3097261   .0322072    -9.62   0.000    -.3734681   -.2459841
   Unemployment |  -.0069286   .0077619    -0.89   0.374    -.0222904    .0084332
           WPUI |  -.0007319   .0003823    -1.91   0.058    -.0014886    .0000247
StringencyIndex |  -.0151191   .0058869    -2.57   0.011    -.0267701   -.0034681
          _cons |   5.534372   .2454153    22.55   0.000     5.048665    6.020079
---------------------------------------------------------------------------------
Code:
estimates store D
Code:
. reg fertility lngdpper Unemployment WPUI schoolclosing

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(4, 125)       =     53.58
       Model |  43.3045478         4   10.826137   Prob > F        =    0.0000
    Residual |  25.2579843       125  .202063874   R-squared       =    0.6316
-------------+----------------------------------   Adj R-squared   =    0.6198
       Total |  68.5625321       129  .531492497   Root MSE        =    .44952

-------------------------------------------------------------------------------
    fertility | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
     lngdpper |  -.3234715   .0316028   -10.24   0.000    -.3860173   -.2609257
 Unemployment |  -.0068205   .0078007    -0.87   0.384    -.0222591    .0086181
         WPUI |  -.0008157   .0003773    -2.16   0.033    -.0015625    -.000069
schoolclosing |  -.2478858   .1079816    -2.30   0.023    -.4615948   -.0341769
        _cons |   5.546419    .247489    22.41   0.000     5.056608    6.036231
-------------------------------------------------------------------------------
Code:
estimates store E
Code:
. reg fertility lngdpper Unemployment WPUI Cancelpubliceven

      Source |       SS           df       MS      Number of obs   =       130
-------------+----------------------------------   F(4, 125)       =     52.25
       Model |   42.902468         4   10.725617   Prob > F        =    0.0000
    Residual |   25.660064       125  .205280512   R-squared       =    0.6257
-------------+----------------------------------   Adj R-squared   =    0.6138
       Total |  68.5625321       129  .531492497   Root MSE        =    .45308

----------------------------------------------------------------------------------
       fertility | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
        lngdpper |  -.3184778   .0322615    -9.87   0.000    -.3823274   -.2546282
    Unemployment |  -.0070328   .0078681    -0.89   0.373    -.0226049    .0085392
            WPUI |  -.0008469   .0003845    -2.20   0.029    -.0016079   -.0000858
Cancelpubliceven |  -.3190479   .1775599    -1.80   0.075    -.6704609    .0323652
           _cons |   5.499037   .2478894    22.18   0.000     5.008433    5.989641
----------------------------------------------------------------------------------
Code:
estimates store F
Code:
coefplot D E coefplot D F E, vertical drop(_cons) yline(0)

but when I did the coefplot , it is not so clear and I think there is a mistake.



2) just scatter plot among the fertility and my variables without doing a regression.
I did this command which the results are not clear:
Code:
twoway (scatter fertility gdpgrowth,mcolor(blue) msymbol(t))(scatter fertility StringencyIndex ,mcolor(red) msymbol(D)) (scatter fertility schoolclosing , msymbol(S))

I hope I receive your advice so soon. thank you so much in advance.