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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 − 10–vCIV | 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 L2500–vCIV | W | 0.32 | 0.2872 | – | – | 0.01 ± 0.03 | 32.2 ± 0.1 |
log L6μm–vCIV | W | 0.27 | 0.3680 | – | – | 0.01 ± 0.02 | 47.1 ± 0.1 |
log Lbol–vCIV | 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, X–vCIV | 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 − 10–vCIV | W | −0.67 | 0.0150 | −0.71±0.05 | 0.0223 | −0.11 ± 0.02 | 1.5 ± 0.1 |
αox–vCIV | W | 0.68 | 0.0139 | 0.68±0.04 | 0.0252 | 0.05 ± 0.01 | −1.7 ± 0.1 |
Δαox–vCIV | W | 0.68 | 0.0139 | 0.68±0.04 | 0.0253 | 0.05 ± 0.01 | 0.08 ± 0.05 |
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W | 0.69 | 0.0094 | 0.71±0.04 | 0.0171 | 0.08 ± 0.01 | −1.7 ± 0.1 |
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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 NH–vCIV | 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.
(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;
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