Table 12. Multiple regression, English-German, word-like pseudoword.

	Model 1		Model 2
(Intercept)	−0.40(0.15)**		−0.86(0.40)*
Language	0.79(0.21)***		0.73(0.23)**
Length			0.18(0.14)
Syllables count			0.34(0.26)
Baseword Frequency			−0.01(0.11)
Orthographic N			−0.04(0.11)
Phonological N			0.03(0.12)
Body N			−0.16(0.12)
Bigram Frequency			−0.10(0.11)
R2	0.16		0.26
Adj. R2	0.15		0.17
Num. obs.	80		80
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-0.8563	0.4048	-2.12	0.0379*
Language	0.7289	0.2316	3.15	0.0024**
Length	0.1756	0.1373	1.28	0.2051
Syllables count	0.3392	0.2578	1.32	0.1924
Frequency	-0.0116	0.1133	-0.10	0.9189
Orthographic N	-0.0414	0.1051	-0.39	0.6947
Phonological N	0.0319	0.1219	0.26	0.7943
Body N	-0.1575	0.1236	-1.27	0.2068
Bigram Frequency	-0.0993	0.1053	-0.94	0.3489

***p < 0.001;

**p < 0.01;

*p < 0.05