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En ASS.Effet de G sur rto
MCO
Source | SS df MS
Number of obs = 85
-------------+------------------------------
F( 5, 79) = 2.47
Model | 12982.783 5 2596.5566
Prob > F = 0.0395
Residual | 83126.1477 79 1052.22972
R-squared = 0.1351
-------------+------------------------------
Adj R-squared = 0.0803
Total | 96108.9307 84 1144.15394
Root MSE = 32.438
------------------------------------------------------------------------------
rto | Coef. Std. Err. t
P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
g | 1.394042 1.976293 0.71 0.483
-2.539671 5.327756
dext | -.2603943 3.32201 -0.08 0.938
-6.872691 6.351902
open | -39.05815 18.69085 -2.09 0.040
-76.26137 -1.854938
inv | .525045 .457814 1.15
0.255 -.386211 1.436301
g²| -.2442903 .3865434
-0.63 0.529 -1.013686 .5251051
_cons | 174.7939 72.81651 2.40
0.019 29.85631 319.7316
------------------------------------------------------------------------------
En ASE. Effet de G sur rto
MCO
Source | SS df MS
Number of obs = 92
-------------+------------------------------
F( 5, 86) = 12.78
Model | 57104.1786 5 11420.8357
Prob > F = 0.0000
Residual | 76842.7512 86 893.520363
R-squared = 0.4263
-------------+------------------------------
Adj R-squared = 0.3930
Total | 133946.93 91 1471.94428
Root MSE = 29.892
------------------------------------------------------------------------------
rto | Coef. Std. Err. t
P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
g | 1.575757 .9664605 1.63 0.107
-.3455026 3.497017
inv | .6469344 .337196 1.92 0.058
-.0233891 1.317258
open | 36.67188 8.693417 4.22 0.000
19.38993 53.95382
dext | -6.319735 11.58351 -0.55 0.587
-29.34699 16.70752
g² | .1476781 .0968023 1.53
0.131 -.0447586 .3401148
_cons | -134.8356 69.65984 -1.94 0.056
-273.3148 3.643585
------------------------------------------------------------------------------
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