| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 314.438 | 38.203 | 8.231 | 0 | X | 0.008 | 0 | 33.579 | 0 |
| - - - | ||||
| Residual Std. Err. | 332.189 on 287 df | |||
| Multiple R-sq. | 0.797 | |||
| Adjusted R-sq. | 0.796 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| time_in_rfc | 1 | 124421365.882 | 124421365.882 | 1127.522 | 0 |
| Residuals | 287 | 31670266.132 | 110349.359 | ||
