Table 11. OLS Regressions of Russian Score and Math Score on Right 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 |
| Right Hand 2D:4D | 1219.507*** + | 1149.561* + | −358.210 | −594.132 | 1462.162** + | 1548.033*** + | −833.586 | −386.7195 |
| (386.220) | (380.681) | (840.250) | (961.873) | (737.697) | (564.843) | (1600.289) | (1253.000) | |
| Square of Right Hand 2D:4D | −614.585*** + | −595.052* + | 176.008 | 304.791 | −738.570** + | −771.270*** + | 436.514 | 232.749 + |
| (191.778) | (190.327) | (425.958) | (494.139) | (366.135) | (279.479) | (819.582) | (646.371) | |
| Right Hand 2D:4D × Faculty (Law) | −57.484 + | 11.199 | 3.351 | −89.117 + | ||||
| (35.477) | (50.449) | (53.419) | (72.092) | |||||
| Right Hand 2D:4D × Faculty (Management) | −52.595 + | 24.576 | −0.222 | 54.965 | ||||
| (38.187) | (55.692) | (35.739) | (53.825) | |||||
| Right Hand 2D:4D × Faculty (Political Science) | −83.038** + | −46.469 | 51.339 | −27.447 + | ||||
| (35.343) | (86.183) | (56.669) | (325.798) | |||||
| Square of Right Hand 2D:4D × Faculty (Law) | 53.448 | −15.820 + | −23.801 + | 67.591 | ||||
| (35.518) | (51.530) | (52.766) | (72.923) | |||||
| Square of Right Hand 2D:4D × Faculty (Management) | 46.244 | −27.884 | −9.7882 + | −66.265 + | ||||
| (38.103) | (56.956) | (35.438) | (55.039) | |||||
| Square of Right Hand 2D:4D × Faculty (Political Science) | 79.941** + | 44.229 | −73.334 + | 2.309 | ||||
| (35.619) | (89.353) | (57.372) | (338.526) | |||||
| Constant | −522.899 | −469.594** | 257.593 | 367.324 | −652.064*** | −698.040** | 467.597 | 233.046 |
| (194.271) | (190.791) | (414.004) | (468.415) | (371.258) | (285.421) | (780.261) | (606.886) | |
| R-squared (OLS) | 0.025 | 0.114 | 0.003 | 0.046 | 0.025 | 0.503 | 0.006 | 0.449 |
| Adjusted R-squared (OLS) | 0.017 | 0.084 | −0.008 | 0.001 | 0.011 | 0.476 | −0.010 | 0.411 |
| R-squared (Stepwise) | 0.025 | 0.107 | 0.000 | 0.017 | 0.025 | 0.502 | 0.000 | 0.439 |
| N | 242 | 242 | 179 | 179 | 152 | 152 | 125 | 125 |
| p-value(F) (OLS) | 0.003 | 0.000 | 0.777 | 0.315 | 0.073 | 0.000 | 0.710 | 0.000 |
| F-stat (OLS) | 6.047 | 45542.000 | 0.252 | 1.178 | 2.667 | 27.740 | 0.344 | 11.880 |
| Rmax (OLS) | 0.992 | 0.976 (Econ)/ 1.035(Poli Sci) | 0.990 | 1.004 (Economics) | ||||
| Rmin (LPM) | ||||||||
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. Rmax (Rmin) is the value of right digit ratio that maximizes (minimizes) the dependent variable, equal to -b1/(2×b2), computed only for significant values in OLS and LPM regressions.