| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 84.897 | 7.104 | 11.95 | 0 | X | 0.358 | 0.168 | 2.128 | 0.055 |
| - - - | ||||
| Residual Std. Err. | 10.206 on 12 df | |||
| Multiple R-sq. | 0.274 | |||
| Adjusted R-sq. | 0.214 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 471.788 | 471.788 | 4.529 | 0.055 |
| Residuals | 12 | 1249.926 | 104.161 | ||
