| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 81.385 | 3.571 | 22.789 | 0 | X | 0.366 | 0.068 | 5.378 | 0 |
| - - - | ||||
| Residual Std. Err. | 10.68 on 83 df | |||
| Multiple R-sq. | 0.258 | |||
| Adjusted R-sq. | 0.249 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 3298.544 | 3298.544 | 28.921 | 0 |
| Residuals | 83 | 9466.468 | 114.054 | ||
