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Table 3.
Posteriors linear regression.
| [M/H] versus R | |||
|---|---|---|---|
| Parameter | Mean | σ | 95% C.I. |
| α [dex kpc−1 ] | −0.054 | 0.008 | −0.062–−0.046 |
| β [dex] | 0.32 | 0.07 | 0.25–0.39 |
| ϵ [dex] | 0.116 | 0.008 | 0.108–0.124 |
| [M/H] versus rguid | |||
| Parameter | Mean | σ | 95% C.I. |
| α [dex kpc−1 ] | −0.063 | 0.008 | −0.071–−0.055 |
| β [dex] | 0.38 | 0.07 | 0.31–0.45 |
| ϵ [dex] | 0.110 | 0.008 | 0.102–0.118 |
| [α/Fe] versus R | |||
| Parameter | Mean | σ | 95% C.I. |
| α [dex kpc−1 ] | 0.013 | 0.007 | 0.006–0.020 |
| β [dex] | −0.19 | 0.06 | −0.24–−0.13 |
| ϵ [dex] | 0.096 | 0.007 | 0.089–0.102 |
| [α/Fe] versus rguid | |||
| Parameter | Mean | σ | 95% C.I. |
| α [dex kpc−1 ] | 0.017 | 0.008 | 0.009–0.024 |
| β [dex] | −0.21 | 0.06 | −0.28–−0.15 |
| ϵ [dex] | 0.095 | 0.006 | 0.089–0.102 |
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