| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 81.297 | 3.525 | 23.063 | 0 | X | 0.38 | 0.067 | 5.674 | 0 |
| - - - | ||||
| Residual Std. Err. | 10.939 on 86 df | |||
| Multiple R-sq. | 0.272 | |||
| Adjusted R-sq. | 0.264 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 3852.596 | 3852.596 | 32.193 | 0 |
| Residuals | 86 | 10291.847 | 119.673 | ||
