Table 2
Summary of the correlation analysis results.
Parameters | N(1) | a(2) | b(2) | ρ (3) | p (4) | r (5) | \(6) |
---|---|---|---|---|---|---|---|
LX vs. M | 332 | 30.58 ± 0.07 | 2.08 ± 0.16 | 0.62 | <0.001 | 0.62 ± 0.04 | 0.58 |
LX, soft vs. M | 332 | 30.39 ± 0.07 | 2.00 ± 0.16 | 0.60 | <0.001 | 0.62 ± 0.04 | 0.58 |
LX, char vs. M | 332 | 30.45 ± 0.07 | 2.12 ± 0.15 | 0.64 | <0.001 | 0.65 ± 0.04 | 0.55 |
Ṁacc vs. M | 332 | − 8.11 ± 0.10 | 1.07 ± 0.22 | 0.32 | <0.001 | 0.32 ± 0.06 | 0.80 |
Ṁacc∕Ṁacc(M) vs. LX∕LX(M) | 332 | 0.00 ± 0.04 | − 0.27 ± 0.10 | − 0.12 | 0.031 | −0.21 ± 0.07 | 0.79 |
Ṁacc∕Ṁacc(M) vs. LX, soft∕LX, soft(M) | 332 | 0.00 ± 0.04 | −0.32 ± 0.10 | −0.14 | 0.008 | −0.25 ± 0.07 | 0.79 |
Ṁacc∕Ṁacc(M) vs. LX, char∕LX, char(M) | 332 | 0.00 ± 0.04 | −0.37 ± 0.11 | −0.16 | 0.004 | − 0.26 ± 0.07 | 0.79 |
Ṁacc∕Ṁacc(M, τ) vs. LX∕LX(M, τ) | 332 | 0.00 ± 0.04 | −0.27 ± 0.07 | −0.19 | <0.001 | −0.20 ± 0.05 | 0.74 |
Lacc∕Lacc(M, τ) vs. LX∕LX(M, τ) | 332 | 0.00 ± 0.04 | −0.26 ± 0.07 | −0.18 | <0.001 | −0.20 ± 0.05 | 0.73 |
LX∕LX(M) vs. T2 | 229 | −6.26 ± 2.27 | 0.86 ± 0.30 | 0.20 | 0.003 | 0.27 ± 0.10 | 0.48 |
Ṁacc∕Ṁacc(M) vs. T2 | 229 | − 13.68 ± 3.51 | 1.81 ± 0.47 | 0.30 | <0.001 | 0.36 ± 0.09 | 0.74 |
Notes. The relations correspond to the logarithmic equation of the parameters and have the form log y = a + b × logx. The parameters were determined with the LINMIX_ERR method. (1)Sample size. (2) a is the intercept and b the slope of the linear regression line. Errors for the least squares analysis are the standard deviations. (3) Spearman’s ρ rank correlation coefficient. (4) p-value: two-sided significance of ρ’s deviation from zero. (5)Linear correlation coefficient determined with LINMIX_ERR. (6)Standard deviation of the residuum (scatter).
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