Bivariate correlations | Multiple Logistic regression models | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
i11 | i13 | i11 | i13 | |||||||||
r | CI | P | r | CI | P | β | CI | P | β | CI | P | |
i1 | .30 | .14–.47 | <.001 | .56 | .44–.69 | <.001 | −0.15 | −0.33-0.02 | .072 | 0.16 | 0.05–0.28 | .007 |
i2 | .71 | .62–.80 | <.001 | .73 | .65–.81 | <.001 | 0.25 | 0.06–0.45 | .013 | 0.27 | 0.09–0.44 | .004 |
i3 | .56 | .44–.69 | <.001 | .59 | .48–.69 | <.001 | −0.03 | −0.19-0.13 | .724 | 0.10 | −0.06-0.25 | .232 |
i4 | .59 | .46–.72 | <.001 | .61 | .51–.72 | <.001 | 0.07 | −0.13-0.27 | .469 | −0.02 | − 0.19-0.15 | .855 |
i5 | .65 | .53–.77 | <.001 | .59 | .47–70 | <.001 | 0.14 | −0.01-0.30 | .075 | 0.03 | −0.21-0.27 | .806 |
i6 | .69 | .59–.79 | <.001 | .69 | .60–.78 | <.001 | 0.03 | −0.21-0.27 | .799 | −0.10 | −0.32-0.13 | .417 |
i7 | .65 | .54–.77 | <.001 | .63 | .51–.75 | <.001 | 0.14 | −0.02-0.30 | .072 | 0.10 | −0.10-0.30 | .311 |
i8 | .63 | .52–.75 | <.001 | .67 | .57–.77 | <.001 | 0.09 | −0.10-0.28 | .334 | 0.10 | −0.05-0.25 | .188 |
i9 | .62 | .50–.74 | <.001 | .67 | .57–.76 | <.001 | 0.04 | −0.19-0.26 | .735 | 0.11 | −0.08-0.29 | .264 |
i10 | .66 | .55–.77 | <.001 | .61 | .49–.73 | <.001 | 0.26 | 0.09–0.43 | .004 | 0.09 | −0.06-0.23 | .236 |
i12 | .56 | .42–.70 | <.001 | .68 | .57–.78 | <.001 | 0.10 | −0.11-0.32 | .343 | 0.20 | −0.01-0.40 | .047 |
i14 | .48 | .31–.65 | <.001 | .56 | .43–.69 | <.001 | 0.02 | −0.18-0.22 | .856 | 0.16 | −0.03-0.34 | .119 |
R2 | .63 | .70 |