| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 82.301 | 3.542 | 23.238 | 0 | X | 0.355 | 0.068 | 5.235 | 0 |
| - - - | ||||
| Residual Std. Err. | 10.83 on 85 df | |||
| Multiple R-sq. | 0.244 | |||
| Adjusted R-sq. | 0.235 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 3213.87 | 3213.87 | 27.402 | 0 |
| Residuals | 85 | 9969.188 | 117.285 | ||
