. Author manuscript; available in PMC: 2014 Jun 1.

Published in final edited form as: Learn Individ Differ. 2013 Feb 20;25:126–133. doi: 10.1016/j.lindif.2013.02.001

Table 5.

Linear regression analyses predicting math ability using expressive vocabulary size (Vocab scores), accuracy (model 1), Weber fraction (w, model 2), and RT on the ANS acuity task, RT on the attention task (K-CPT), and memory span scores as possible predictors

	Model 1 incl. accuracy and RT			Model 2 incl. w and RT
R²	0.33			0.21
F-statistics	F(5,117) = 11.63			F(5,104) = 5.39
p-statistics	p < 0.001			p < 0.001
	Predictor	r_p²	p	Predictor	r_p²	p
	Vocab	0.01	0.28	Vocab	0.03	0.09
	ANS-RT	0.05	0.01	ANS-RT	0.04	0.04
	Accuracy	0.18	< 0.001	w	0.11	0.001
	K-CPT-RT	0.08	< 0.01	K-CPT-RT	0.04	0.05
	Memory span	0.05	0.02	Memory span	0.05	0.02