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. 2014 Aug 6;8:574. doi: 10.3389/fnhum.2014.00574

Table 1.

Regression coefficients for standard regression models and for robust regression analyses.

Least square RMS error Robust regression RMS error Comparison of regression slopes
2HAND Y = 64.76 + 0.33*X 13.37 Y = 63.90 + 0.36*X 14.18 t = 0.1224, p > 0.05
BIS_A Y = 103.01 + −2.89*X 13.04 Y = 108.98 + −3.43*X 13.44 t = −0.3240, p > 0.05
Performance level Y = 64.76 + 0.15*X 14.00 Y = 63.76 + 0.18*X 15.19 t = 0.1046, p > 0.05