| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 129.291 | 5.069 | 25.508 | 0 | X | -0.573 | 0.094 | -6.126 | 0 |
| - - - | ||||
| Residual Std. Err. | 9.519 on 80 df | |||
| Multiple R-sq. | 0.319 | |||
| Adjusted R-sq. | 0.311 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 3400.904 | 3400.904 | 37.53 | 0 |
| Residuals | 80 | 7249.498 | 90.619 | ||
