Table 3.
Best-fit slopes obtained by fitting a straight line, in linear or logarithmic scale, for various combinations of the best-fit model parameters.
Parameters | Space | Slope | ρS |
---|---|---|---|
h (rg) vs. Ltransf/Ldisc | linear | 56.92 ± 22.94 | 0.27 |
(2.5σ) | (0.33) | ||
Γ vs. Ltransf/Ldisc | linear | −1.00 ± 0.35 | −0.56 |
(2.8σ) | (0.03) | ||
FX/⟨FX⟩ vs. Ltransf/Ldisc | linear | 0.04 ± 0.46 | 0.00 |
(0.1σ) | (1.00) | ||
FUV/⟨FUV⟩ vs. Ltransf/Ldisc | linear | −1.41 ± 0.30 | −0.79 |
(4.6σ) | (0.0004) | ||
Γ vs. h (rg) | linear | −0.006 ± 0.004 | −0.46 |
(1.6σ ) | (0.08) | ||
FX/⟨FX⟩ vs. h (rg) | log | 0.15 ± 0.06 | 0.57 |
(2.5σ) | (0.03) | ||
FUV/⟨FUV⟩ vs. h (rg) | log | 0.19 ± 0.08 | 0.31 |
(2.4σ) | (0.26) | ||
FX/⟨FX⟩ vs. Γ | log | 0.62 ± 0.21 | 0.26 |
(3.0σ) | (0.35) | ||
FUV/⟨FUV⟩ vs. Γ | linear | 0.33 ± 0.16 | 0.37 |
(2.1σ) | (0.18) | ||
FUV/⟨FUV⟩ vs. FX/⟨FX⟩ | linear | 1.13 ± 0.11 | 0.38 |
(9.9σ) | (0.16) |
Notes. Values in parenthesis below the best-fit slopes indicate the significance of the hypothesis that the slope is different than zero. In the last column, we list the Spearman’s rank correlation coefficient and the null hypothesis probability (values in parenthesis).
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