| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -46.978 | 28.576 | -1.644 | 0.113 | X | 14.484 | 5.409 | 2.678 | 0.013 |
| - - - | ||||
| Residual Std. Err. | 80.484 on 24 df | |||
| Multiple R-sq. | 0.23 | |||
| Adjusted R-sq. | 0.198 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| X | 1 | 46444.847 | 46444.847 | 7.17 | 0.013 |
| Residuals | 24 | 155463.191 | 6477.633 | ||
