Table 5 Multiple regression for IQ and HRV indices across the whole sample (N = 110).

	Effect	B	Std.error	95_CI		β	uncorr p	FDR-corr p	R²	p model fit
				LL	UL
IQ ~ RMSSD	(Intercept)	96.585	10.673				0.000	0.000^§
	RMSSD	0.052	0.026	0.033	0.301	0.167	0.049	0.061
	age	−1.138	0.730	−0.264	0.005	−0.130	0.122	0.139	0.270	0.000^§
	sex	−0.319	1.975	−0.150	0.123	−0.014	0.872	0.951
	SES	2.539	0.452	0.353	0.597	0.475	0.000	0.000^§
IQ~pNN50	(Intercept)	97.293	10.509				0.000	0.000^§
	pNN50	0.110	0.042	0.084	0.350	0.217	0.011	0.023*
	age	−1.151	0.721	−0.264	0.001	−0.131	0.113	0.139	0.288	0.000^§
	sex	−0.120	1.953	−0.140	0.129	−0.005	0.951	0.951
	SES	2.426	0.450	0.330	0.578	0.454	0.000	0.000^§
IQ~HFpower	(Intercept)	84.982	11.177				0.000	0.000^§
	HFpower	2.245	0.711	0.128	0.387	0.258	0.002	0.010*
	age	−1.068	0.710	−0.253	0.009	−0.122	0.136	0.139	0.308	0.000^§
	sex	−0.416	1.913	−0.149	0.114	-0.018	0.828	0.951
	SES	2.397	0.443	0.326	0.571	0.449	0.000	0.000^§
IQ ~ RSA	(Intercept)	89.473	11.099				0.000	0.000^§
	RSA	22.537	8.994	0.075	0.339	0.207	0.014	0.023*
	age	−1.240	0.725	−0.275	-0.008	−0.142	0.090	0.139	0.285	0.000^§
	sex	−0.986	1.943	−0.176	0.092	−0.042	0.613	0.951
	SES	2.735	0.446	0.393	0.631	0.512	0.000	0.000^§

R² Adjusted R-squared. ^*p < 0.05, ^§p < 0.0001.
Values that meet p < 0.05 (considered significant in this study) are marked in bold.

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