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. 2012 Oct 8;7(10):e46319. doi: 10.1371/journal.pone.0046319

Table 9. LPM and Logit Regressions of Olympiad on Left Hand 2D:4D and its Square.

Moscow
Olympiad
Female Male
Explanatory Variables LPM Logit LPM Logit LPM Logit LPM Logit
Left Hand 2D:4D −4.014 −17.866 −7.767 −5.199 −63.072* + −276.595** + −50.317* + −239.918* +
(24.619) (114.950) (23.815) (126.812) (32.579) (139.224) (29.440) (140.568)
Square of Left Hand 2D:4D 2.194 9.818 4.536 + 5.223 32.128* + 140.909** + 25.927* + 123.339* +
(12.407) (57.832) (12.047) (63.895) (16.569) (70.792) (14.915) (71.263)
Left Hand 2D:4D × Faculty (Law) −1.020 + −6.764 + 0.639 2.746
(1.666) (7.623) (1.737) (8.095)
Left Hand 2D:4D × Faculty (Management) 2.478 + 14.153 0.077 −0.209
(1.974) (10.878) (1.936) (11.530)
Left Hand 2D:4D × Faculty (Political Science) 2.420 + 11.038 −2.712 + −11.970 +
(2.084) (9.651) (3.156) (14.488)
Square of Left Hand 2D:4D × Faculty (Law) 0.819 5.844 −0.930 + −4.067 +
(1.674) (7.623) (1.757) (8.196)
Square of Left Hand 2D:4D × Faculty (Management) −2.747 + −15.486 + −0.446 + −1.665 +
(1.965) (10.906) (1.961) (11.691)
Square of Left Hand 2D:4D × Faculty (Political Science) −2.591 + −11.789 + 2.582 11.426
(2.092) (9.726) (3.199) (14.647)
Constant 2.115 7.178 3.685 −0.193 31.227* 134.752** 24.875* 116.502*
(12.206) (57.088) (11.793) (62.968) (16.006) (68.403) (14.530) (69.311)
R-squared (LPM) 0.001 0.062 0.013 0.107
Adjusted R-squared (LPM) 0.004 0.045 0.006 0.084
Pseudo R-squared (Logit) 0.001 0.052 0.010 0.087
Pseudo R-squared (Stepwise) 0.000 0.039 0.010 0.084
N 446 446 446 446 323 323 323 323
p-value(F) (LPM, Logit) 0.848 0.844 0.000 0.001 0.154 0.137 0.000 0.000
F-stat (LPM) 0.165 3.719 18850 5.012
Lmin (LPM) 0.982 0.970 (Economics)

Note: The numbers in brackets are robust standard errors; * Significant at 10%, ** 5%, *** 1% in OLS, LPM or Logit regressions; + p-value equal or less than 0.10 tolerance level in backward stepwise regressions, implying that the variable ought not to be removed from the model. Lmax (Lmin) is the value of left digit ratio that maximizes (minimizes) the dependent variable, equal to -b1/(2×b2), computed only for significant values in OLS and LPM regressions.