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  1. Model 1: OLS, using observations 1-500
  2. Dependent variable: EARNINGS
  3.  
  4.              coefficient   std. error   t-ratio   p-value
  5.   --------------------------------------------------------
  6.   const       4.10866       2.58186      1.591    0.1122  
  7.   S           0.993788      0.174091     5.708    1.96e-08 ***
  8.  
  9. Mean dependent var   18.59014   S.D. dependent var   11.06674
  10. Sum squared resid    57360.60   S.E. of regression   10.73228
  11. R-squared            0.061415   Adjusted R-squared   0.059531
  12. F(1, 498)            32.58617   P-value(F)           1.96e-08
  13. Log-likelihood      −1895.095   Akaike criterion     3794.191
  14. Schwarz criterion    3802.620   Hannan-Quinn         3797.499
  15.  
  16. Model 2: OLS, using observations 1-500
  17. Dependent variable: EARNINGS
  18.  
  19.              coefficient   std. error   t-ratio    p-value
  20.   ---------------------------------------------------------
  21.   const       18.0200       0.491133    36.69     1.11e-143 ***
  22.   ASVABC       2.93296      0.523199     5.606    3.44e-08  ***
  23.  
  24. Mean dependent var   18.59014   S.D. dependent var   11.06674
  25. Sum squared resid    57486.39   S.E. of regression   10.74405
  26. R-squared            0.059357   Adjusted R-squared   0.057468
  27. F(1, 498)            31.42519   P-value(F)           3.44e-08
  28. Log-likelihood      −1895.643   Akaike criterion     3795.286
  29. Schwarz criterion    3803.715   Hannan-Quinn         3798.594
  30.  
  31. Model 3: OLS, using observations 1-500
  32. Dependent variable: EARNINGS
  33.  
  34.              coefficient   std. error   t-ratio   p-value
  35.   -------------------------------------------------------
  36.   const       8.66544       2.97595      2.912    0.0038  ***
  37.   ASVABC      1.85937       0.618324     3.007    0.0028  ***
  38.   S           0.656278      0.205969     3.186    0.0015  ***
  39.  
  40. Mean dependent var   18.59014   S.D. dependent var   11.06674
  41. Sum squared resid    56335.59   S.E. of regression   10.64666
  42. R-squared            0.078188   Adjusted R-squared   0.074478
  43. F(2, 497)            21.07761   P-value(F)           1.64e-09
  44. Log-likelihood      −1890.588   Akaike criterion     3787.175
  45. Schwarz criterion    3799.819   Hannan-Quinn         3792.137
  46.  
  47. Model 4: OLS, using observations 1-500
  48. Dependent variable: EARNINGS
  49.  
  50.              coefficient   std. error   t-ratio   p-value
  51.   --------------------------------------------------------
  52.   const       −2.57468      4.35863     −0.5907   0.5550  
  53.   ASVABC       1.76518      0.610359     2.892    0.0040   ***
  54.   S            1.05856      0.242505     4.365    1.55e-05 ***
  55.   TENURE       0.255513     0.191601     1.334    0.1830  
  56.   EXP01        0.674524     0.220701     3.056    0.0024   ***
  57.  
  58. Mean dependent var   18.59014   S.D. dependent var   11.06674
  59. Sum squared resid    54586.47   S.E. of regression   10.50122
  60. R-squared            0.106808   Adjusted R-squared   0.099591
  61. F(4, 495)            14.79807   P-value(F)           1.98e-11
  62. Log-likelihood      −1882.703   Akaike criterion     3775.405
  63. Schwarz criterion    3796.478   Hannan-Quinn         3783.674
  64.  
  65. Excluding the constant, p-value was highest for variable 92 (TENURE)
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