Table 1. Summary of regression model for logarithm of onset difference of words.

Variable	Trans	B	β	SE	t	p	VIF
Intercept	x	0.9719		0.049	19.764	<0.001
RNN prediction	x (1/6)	−0.3370	−0.0862	0.047	−7.163	<0.001	1.5
Bigram	log(x)	−0.0118	−0.0316	0.005	−2.424	0.015	1.8
Word frequency W-1	x	0.0049	0.0076	0.009	0.546	0.585	2.0
Mean duration W-1	log(x)	1.1206	0.7003	0.022	50.326	<0.001	2.0
Syllable Rate	x	−0.1033	−0.2245	0.004	−23.014	<0.001	1.0

Model R² = 0.542. Trans = transformation, W-1 = previous word, B = unstandardized coefficient, β = standardized coefficient, SE = standard error, t = t value, p = p value, VIF = variance inflation factor.