Correlation Matrix

Correlation Matrix
		I0	PA500	HFS	DA	AREA	A/DA	MAX IP	DR	P
I0	Pearson's r	—
	df	—
	p-value	—
	Spearman's rho	—
	df	—
	p-value	—
PA500	Pearson's r	-0.394	—
	df	104	—
	p-value	< .001	—
	Spearman's rho	-0.353	—
	df	104	—
	p-value	< .001	—
HFS	Pearson's r	0.028	0.509	—
	df	104	104	—
	p-value	0.772	< .001	—
	Spearman's rho	-0.052	0.475	—
	df	104	104	—
	p-value	0.595	< .001	—
DA	Pearson's r	0.820	-0.090	0.107	—
	df	104	104	104	—
	p-value	< .001	0.360	0.275	—
	Spearman's rho	0.890	-0.103	0.083	—
	df	104	104	104	—
	p-value	< .001	0.291	0.395	—
AREA	Pearson's r	0.560	0.084	0.206	0.731	—
	df	104	104	104	104	—
	p-value	< .001	0.395	0.034	< .001	—
	Spearman's rho	0.832	0.105	0.212	0.907	—
	df	104	104	104	104	—
	p-value	< .001	0.283	0.029	< .001	—
A/DA	Pearson's r	0.612	0.230	0.356	0.648	0.830	—
	df	104	104	104	104	104	—
	p-value	< .001	0.018	< .001	< .001	< .001	—
	Spearman's rho	0.655	0.316	0.337	0.685	0.916	—
	df	104	104	104	104	104	—
	p-value	< .001	< .001	< .001	< .001	< .001	—
MAX IP	Pearson's r	0.824	-0.050	0.371	0.753	0.735	0.813	—
	df	104	104	104	104	104	104	—
	p-value	< .001	0.608	< .001	< .001	< .001	< .001	—
	Spearman's rho	0.831	0.096	0.299	0.837	0.925	0.859	—
	df	104	104	104	104	104	104	—
	p-value	< .001	0.327	0.002	< .001	< .001	< .001	—
DR	Pearson's r	0.733	-0.077	0.012	0.974	0.676	0.541	0.600	—
	df	104	104	104	104	104	104	104	—
	p-value	< .001	0.432	0.906	< .001	< .001	< .001	< .001	—
	Spearman's rho	0.817	-0.088	0.009	0.965	0.832	0.589	0.730	—
	df	104	104	104	104	104	104	104	—
	p-value	< .001	0.372	0.930	< .001	< .001	< .001	< .001	—
P	Pearson's r	0.989	-0.346	0.102	0.774	0.574	0.679	0.862	0.666	—
	df	104	104	104	104	104	104	104	104	—
	p-value	< .001	< .001	0.296	< .001	< .001	< .001	< .001	< .001	—
	Spearman's rho	0.988	-0.277	0.017	0.898	0.874	0.723	0.872	0.812	—
	df	104	104	104	104	104	104	104	104	—
	p-value	< .001	0.004	0.864	< .001	< .001	< .001	< .001	< .001	—