| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 90.922 | 3.224 | 28.198 | 0 | X | 0.176 | 0.062 | 2.852 | 0.006 |
| - - - | ||||
| Residual Std. Err. | 8.573 on 68 df | |||
| Multiple R-sq. | 0.107 | |||
| Adjusted R-sq. | 0.094 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 598.035 | 598.035 | 8.136 | 0.006 |
| Residuals | 68 | 4998.037 | 73.501 | ||
