Table 5.

Multiple regression models [(beta-weights (p-value)], with arithmetic fluency as dependent variable and discrimination performance (P) at the different stimulus ratios (difficulties) as predictors.

Dependent	Predictor
	1:2	3:4	5:6	7:8	9:10	R2
Basic	−0.12 (0.41)	0.14 (0.38)	0.26 (0.11)	0.41 (0.008)	0.11 (0.47)	0.28
Advanced	−0.30 (0.06)	0.036 (0.82)	0.23 (0.18)	0.34 (0.033)	0.04 (0.81)	0.23
Total	−0.21 (0.16)	0.09 (0.56)	0.25 (0.12)	0.39 (0.012)	0.08 (0.61)	0.28