Table 2
Parameters for the linear regressions.
| Models | Slope (×10−3) | Intercept | r(†) |
|---|---|---|---|
| (1) | (2) | (3) | |
| HIAIS | |||
| CE | −0.7 ± 1.0 | 0.90 ± 0.04 | −0.43 |
| HST | −2.0 ± 1.4 | 0.93 ± 0.05 | −0.29 |
| HIAos | |||
| CE | −0.3 ± 0.3 | 0.94 ± 0.01 | −0.66 |
| HST | 2.4 ± 2.3 | 1.08 ± 0.08 | −0.12 |
| HIAISOS | |||
| CE | −0.5 ± 0.5 | 0.92 ± 0.02 | −0.60 |
| HST | −0.2 ± 1.4 | 0.99 ± 0.05 | −0.17 |
Notes. The regressions were conducted with the SciPy package. (†)The correlation coefficient assumes values within a range from −1 (indicating a perfect negative correlation) to +1 (indicating a perfect positive correlation). A correlation coefficient of zero denotes no relationship between the two variables under consideration.
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