| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 81.351 | 3.538 | 22.992 | 0 | X | 0.377 | 0.067 | 5.603 | 0 |
| - - - | ||||
| Residual Std. Err. | 10.978 on 85 df | |||
| Multiple R-sq. | 0.27 | |||
| Adjusted R-sq. | 0.261 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 3782.676 | 3782.676 | 31.39 | 0 |
| Residuals | 85 | 10243.14 | 120.508 | ||
