| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 84.477 | 4.882 | 17.305 | 0 | X | 0.322 | 0.1 | 3.226 | 0.003 |
| - - - | ||||
| Residual Std. Err. | 10.124 on 26 df | |||
| Multiple R-sq. | 0.286 | |||
| Adjusted R-sq. | 0.258 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 1066.296 | 1066.296 | 10.404 | 0.003 |
| Residuals | 26 | 2664.669 | 102.487 | ||
