Model 1: OLS, using observations 1-500
Dependent variable: EARNINGS

             coefficient   std. error   t-ratio   p-value
  --------------------------------------------------------
  const       4.10866       2.58186      1.591    0.1122
  S           0.993788      0.174091     5.708    1.96e-08 ***

Mean dependent var   18.59014   S.D. dependent var   11.06674
Sum squared resid    57360.60   S.E. of regression   10.73228
R-squared            0.061415   Adjusted R-squared   0.059531
F(1, 498)            32.58617   P-value(F)           1.96e-08
Log-likelihood      −1895.095   Akaike criterion     3794.191
Schwarz criterion    3802.620   Hannan-Quinn         3797.499

Model 2: OLS, using observations 1-500
Dependent variable: EARNINGS

             coefficient   std. error   t-ratio    p-value
  ---------------------------------------------------------
  const       18.0200       0.491133    36.69     1.11e-143 ***
  ASVABC       2.93296      0.523199     5.606    3.44e-08  ***

Mean dependent var   18.59014   S.D. dependent var   11.06674
Sum squared resid    57486.39   S.E. of regression   10.74405
R-squared            0.059357   Adjusted R-squared   0.057468
F(1, 498)            31.42519   P-value(F)           3.44e-08
Log-likelihood      −1895.643   Akaike criterion     3795.286
Schwarz criterion    3803.715   Hannan-Quinn         3798.594

Model 3: OLS, using observations 1-500
Dependent variable: EARNINGS

             coefficient   std. error   t-ratio   p-value
  -------------------------------------------------------
  const       8.66544       2.97595      2.912    0.0038  ***
  ASVABC      1.85937       0.618324     3.007    0.0028  ***
  S           0.656278      0.205969     3.186    0.0015  ***

Mean dependent var   18.59014   S.D. dependent var   11.06674
Sum squared resid    56335.59   S.E. of regression   10.64666
R-squared            0.078188   Adjusted R-squared   0.074478
F(2, 497)            21.07761   P-value(F)           1.64e-09
Log-likelihood      −1890.588   Akaike criterion     3787.175
Schwarz criterion    3799.819   Hannan-Quinn         3792.137

Model 4: OLS, using observations 1-500
Dependent variable: EARNINGS

             coefficient   std. error   t-ratio   p-value
  --------------------------------------------------------
  const       −2.57468      4.35863     −0.5907   0.5550
  ASVABC       1.76518      0.610359     2.892    0.0040   ***
  S            1.05856      0.242505     4.365    1.55e-05 ***
  TENURE       0.255513     0.191601     1.334    0.1830
  EXP01        0.674524     0.220701     3.056    0.0024   ***

Mean dependent var   18.59014   S.D. dependent var   11.06674
Sum squared resid    54586.47   S.E. of regression   10.50122
R-squared            0.106808   Adjusted R-squared   0.099591
F(4, 495)            14.79807   P-value(F)           1.98e-11
Log-likelihood      −1882.703   Akaike criterion     3775.405
Schwarz criterion    3796.478   Hannan-Quinn         3783.674

Excluding the constant, p-value was highest for variable 92 (TENURE)