| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -10.847 | 1.424 | -7.614 | 0 | X | 0.419 | 0.02 | 20.525 | 0 |
| - - - | ||||
| Residual Std. Err. | 0.664 on 44 df | |||
| Multiple R-sq. | 0.905 | |||
| Adjusted R-sq. | 0.903 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Huwelijken | 1 | 185.83 | 185.83 | 421.281 | 0 |
| Residuals | 44 | 19.409 | 0.441 | ||
