| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 90.569 | 5.126 | 17.669 | 0 | X | 0.187 | 0.095 | 1.967 | 0.053 |
| - - - | ||||
| Residual Std. Err. | 13.859 on 73 df | |||
| Multiple R-sq. | 0.05 | |||
| Adjusted R-sq. | 0.037 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Grade | 1 | 742.902 | 742.902 | 3.868 | 0.053 |
| Residuals | 73 | 14020.484 | 192.061 | ||
