| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -88.814 | 10.138 | -8.76 | 0 | X | 93.937 | 5.872 | 15.996 | 0 |
| - - - | ||||
| Residual Std. Err. | 6.291 on 48 df | |||
| Multiple R-sq. | 0.842 | |||
| Adjusted R-sq. | 0.839 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| lengte(m) | 1 | 10125.776 | 10125.776 | 255.885 | 0 |
| Residuals | 48 | 1899.434 | 39.572 | ||
