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Table 1.

Correlation and linear regression coefficients.

Relation Sample (a) ρ p(b) ρsim(c) psim, 90(d) α(e) β
log L2 − 10vCIV W 0.63 0.0210 0.68±0.06 0.0340 0.13 ± 0.04 45.7 ± 0.2
W+C17 0.53 0.0244 0.56±0.04 0.0346 0.14 ± 0.04 45.8 ± 0.1
log L2500vCIV W 0.32 0.2872 0.01 ± 0.03 32.2 ± 0.1
log L6μmvCIV W 0.27 0.3680 0.01 ± 0.02 47.1 ± 0.1
log LbolvCIV W 0.38 0.1976 0.02 ± 0.02 47.8 ± 0.1
W+C17 0.15 0.5546 0.00 ± 0.02 47.7 ± 0.1
kbol, XvCIV W −0.69 0.0111 −0.69±0.05 0.0269 −0.11 ± 0.02 2.1 ± 0.1
W+C17 −0.61 0.0087 −0.61±0.04 0.0163 −0.13 ± 0.03 2.0 ± 0.1
L6μm/L2 − 10vCIV W −0.67 0.0150 −0.71±0.05 0.0223 −0.11 ± 0.02 1.5 ± 0.1
αoxvCIV W 0.68 0.0139 0.68±0.04 0.0252 0.05 ± 0.01 −1.7 ± 0.1
ΔαoxvCIV W 0.68 0.0139 0.68±0.04 0.0253 0.05 ± 0.01 0.08 ± 0.05
vCIV W 0.69 0.0094 0.71±0.04 0.0171 0.08 ± 0.01 −1.7 ± 0.1
vCIV W 0.71 0.0088 0.71±0.03 0.0160 0.08 ± 0.01 0.13 ± 0.06
Γ–vCIV W 0.24 0.4258 0.03 ± 0.04 1.95 ± 0.11
W+C17 0.28 0.2564 0.04 ± 0.03 2.01 ± 0.08
log NHvCIV W −0.14 (f) 0.6295 (f) −0.10 ± 0.13 (g) 21.5 ± 0.4 (g)
W+C17 −0.07 (f) 0.7645 (f) −0.12 ± 0.14 (g) 21.2 ± 0.5 (g)

Notes.

(a)

W (WISSH), W+C17 (WISSH + C17 sample);

(b)

Null-hypothesis probability;

(c)

Mean and standard deviation of the ρ accounting through simulations for errors in the two quantities (see text for details). This has been computed only for the relations with p ≲ 0.02;

(d)

90% percentile of the distribution of the p values obtained from the simulated random datasets (see text for details). This has been computed only for the relations with p ≲ 0.02;

(e)

Units of 10−3;

(f)

Generalised Spearman’s ρ computed with the survival analysis package ASURV v. 1.2;

(g)

Linear regression based on EM algorithm with normal distribution computed with the survival analysis package ASURV v. 1.2. The functional form for a Y − X relation is Y = α × X + β.

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