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

Table 7. OLS Regressions of Russian Score and Math Score on Left Hand 2D:4D and its Square.

Moscow
Russian Score Math Score
Female Male Female Male
Explanatory Variables OLS OLS OLS OLS OLS OLS OLS OLS
Left Hand 2D:4D −752.148 −557.914 + −713.831 −857.401 1455.801 641.322 −1680.256** + −498.408
(734.042) (622.633) (641.754) (699.541) (1218.6705) (809.7495) (723.913) (610.858)
Square of Left Hand 2D:4D 374.309 257.180 374.938 453.383 −744.247 −335.559 849.140** + 267.912
(366.889) (313.841) (327.8416) (362.109) (607.0971) (405.1691) (371.962) (309.741)
Left Hand 2D:4D × Faculty (Law) −77.678** + 20.373 −33.9398 + 40.912
(34.992) (46.364) (49.2521) (57.116)
Left Hand 2D:4D × Faculty (Management) 16.970 −57.745 −21.6169 + 26.279
(44.868) (59.687) (52.6171) (49.523)
Left Hand 2D:4D × Faculty (Political Science) −115.271** + 45.408 −49.9604 + −186.639* +
(45.557) (116.259) (54.1926) (104.135)
Square of Left Hand 2D:4D × Faculty (Law) 73.579** + −25.363 14.244 −62.442 +
(34.958) (47.100) (49.0035) (56.639)
Square of Left Hand 2D:4D × Faculty (Management) −23.475 + 55.889 11.500 −36.531 +
(44.660) (61.280) (52.5432) (50.337)
Square of Left Hand 2D:4D × Faculty (Political Science) 112.109** + −49.721 29.306 163.886 +
(45.878) (119.275) (54.7281) (104.732)
Constant 458.627 384.719 414.762 482.390 −640.098 −227.823 900.529** 308.294
(366.954) (308.834) (313.970) (337.958) (611.1653) (404.5169) (351.582) (300.450)
R-squared (OLS) 0.007 0.128 0.014 0.070 0.026 0.491 0.0151 0.4415
Adjusted R-squared (OLS) 0.001 0.098 0.003 0.026 0.013 0.463 0.001 0.403
R-squared (Stepwise) 0.000 0.125 0.000 0.000 0.000 0.484 0.0151 0.437
N 242 242 179 179 152.000 152.000 125 125
p-value(F)(OLS) 0.583 0.000 0.319 0.180 0.187 0.000 0.0407 0
F-stat (OLS) 0.541 4.429 1.152 1.449 1.693 19.971 3.281 12.408
Lmin (OLS) 0.528 (Law)/ 0.514 (Poli Sci) 0.989

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.