Table 5.

Hierarchical regression analysis with sERI as the dependent variable. Addition of REM-HF[%] significantly increased the proportion of variance explained by the model.

Model	Predictors	B	SE	β	t	p	95% CI
1	Age	−0.20	0.75	−0.03	−0.27	0.788	−1.69	1.29
	%REM	−0.18	0.68	−0.04	−0.26	0.795	−1.55	1.19
	REMD	2.65	0.93	0.34	2.85	0.006	0.79	4.51
	REML	0.00	0.09	0.00	0.03	0.975	−0.18	0.19
	REMF	2.22	1.06	0.29	2.09	0.041	0.09	4.34
									Change			ANOVA
									Adj. R2	ΔF	Δp	F	p
2	Age	−0.33	0.73	−0.05	−0.45	0.653	−1.79	1.13	0.17	4.17	0.046	3.19	0.009
	%REM	0.05	0.68	0.01	0.07	0.944	−1.30	1.40
	REMD	2.42	0.91	0.31	2.66	0.010	0.60	4.25
	REML	−0.02	0.09	−0.02	−0.18	0.859	−0.20	0.17
	REMF	1.81	1.05	0.23	1.72	0.091	−0.30	3.92
	REM-HF[%]	−0.89	0.44	−0.25	−2.04	0.046	−1.77	−0.02