| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 468.154 | 64.668 | 7.239 | 0 | X | -2.39 | 0.376 | -6.36 | 0 |
| - - - | ||||
| Residual Std. Err. | 15.771 on 20 df | |||
| Multiple R-sq. | 0.669 | |||
| Adjusted R-sq. | 0.653 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| wiskunde | 1 | 10062.523 | 10062.523 | 40.455 | 0 |
| Residuals | 20 | 4974.667 | 248.733 | ||
