| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 2001.713 | 3.195 | 626.422 | 0 | X | -6.179 | 0.173 | -35.664 | 0 |
| - - - | ||||
| Residual Std. Err. | 2.482 on 44 df | |||
| Multiple R-sq. | 0.967 | |||
| Adjusted R-sq. | 0.966 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Mortality | 1 | 7836.41 | 7836.41 | 1271.912 | 0 |
| Residuals | 44 | 271.09 | 6.161 | ||
