Table 2. Simple OLS Regression Models for MMR, IMR, ENMR, LNMR, and PNMR on HDI and IHDI.
| BCa 95% CI | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| B | Bias | SE(B) | Lower | Upper | F | df | p | R 2 | ||
| MMR | ||||||||||
| 1 | HDI | -9.618 | -.001 | .330 | -10.316 | -8.972 | 773.046 | (1, 143) | < .001 | .844 |
| Intercept | 10.456 | .001 | .235 | 10.023 | 10.937 | |||||
| 2 | IHDI | -8.344 | -.002 | .193 | -8.730 | -7.987 | 1,238.889 | (1, 143) | < .001 | .897 |
| Intercept | 8.519 | .004 | .115 | 8.309 | 8.750 | |||||
| IMR | ||||||||||
| 1 | HDI | -6.801 | -.001 | .192 | -7.207 | -6.416 | 999.453 | (1, 143) | < .001 | .875 |
| Intercept | 7.605 | .003 | .133 | 7.367 | 7.882 | |||||
| 2 | IHDI | -5.807 | .005 | .123 | -6.050 | -5.540 | 1,289.726 | (1, 143) | < .001 | .900 |
| Intercept | 6.183 | .000 | .068 | 6.051 | 6.323 | |||||
| ENMR | ||||||||||
| 1 | HDI | -5.715 | -.012 | .240 | -6.187 | -5.312 | 571.723 | (1, 143) | < .001 | .800 |
| Intercept | 5.802 | .008 | .162 | 5.524 | 6.151 | |||||
| 2 | IHDI | -4.923 | -.007 | .149 | -5.228 | -4.633 | 740.319 | (1, 143) | < .001 | .838 |
| Intercept | 4.632 | .003 | .079 | 4.488 | 4.800 | |||||
| LNMR | ||||||||||
| 1 | HDI | -5.381 | .005 | .233 | -5.808 | -4.890 | 618.882 | (1, 143) | < .001 | .812 |
| Intercept | 4.477 | -.002 | .152 | 4.159 | 4.770 | |||||
| 2 | IHDI | -4.607 | .000 | .175 | -4.929 | -4.237 | 753.951 | (1, 143) | < .001 | .841 |
| Intercept | 3.359 | .002 | .089 | 3.179 | 3.537 | |||||
| PNMR | ||||||||||
| 1 | HDI | -7.208 | -.012 | .221 | -7.655 | -6.785 | 819.267 | (1, 143) | < .001 | .851 |
| Intercept | 6.660 | .011 | .158 | 6.358 | 6.992 | |||||
| 2 | IHDI | -6.158 | .007 | .145 | -6.438 | -5.854 | 1,019.992 | (1, 143) | < .001 | .877 |
| Intercept | 5.155 | -.003 | .083 | 4.993 | 5.307 | |||||
Note. Bootstrap results are based on 1,000 bootstrap samples. All regression models are based on logarithmic transformations of the MMR, IMR, ENMR, LNMR, and PNMR variables.