Table 11. Multiple regression, English-French, word-like pseudoword.

	Model 1		Model 2
(Intercept)	0.39, (0.15)*		0.03, (0.42)
Language	−0.77, (0.21)***		−0.79, (0.24)**
Length			0.28, (0.13)*
Syllables count			0.22, (0.25)
Baseword Frequency			0.07, (0.11)
Orthographic N			−0.00, (0.10)
Phononological N			−0.08, (0.11)
Body N			−0.15, (0.13)
Bigram Frequency			−0.08, (0.10)
R2	0.15		0.30
Adj. R2	0.14		0.22
Num. obs.	80		80
	Estimate	Std. Error	t value	Pr(> |t|)
(Intercept)	0.0345	0.4183	0.08	0.9346
Language	-0.7878	0.2395	-3.29	0.0016**
Length	0.2813	0.1322	2.13	0.0368*
Syllables count	0.2212	0.2530	0.87	0.3849
Baseword Frequency	0.0687	0.1103	0.62	0.5352
Orthographic N	-0.0008	0.1025	-0.01	0.9937
Phononological N	-0.0800	0.1083	-0.74	0.4627
Body N	-0.1469	0.1291	-1.14	0.2589
Bigram Frequency	-0.0785	0.1048	-0.75	0.4562

***p < 0.001;

**p < 0.01;

*p < 0.05