| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 87.958 | 5.019 | 17.526 | 0 | X | 0.226 | 0.099 | 2.279 | 0.026 |
| - - - | ||||
| Residual Std. Err. | 10.404 on 64 df | |||
| Multiple R-sq. | 0.075 | |||
| Adjusted R-sq. | 0.061 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 561.986 | 561.986 | 5.192 | 0.026 |
| Residuals | 64 | 6926.999 | 108.234 | ||
