| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 99.005 | 6.466 | 15.311 | 0 | X | -0.94 | 0.12 | -7.818 | 0 |
| - - - | ||||
| Residual Std. Err. | 13.479 on 86 df | |||
| Multiple R-sq. | 0.415 | |||
| Adjusted R-sq. | 0.409 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 11105.981 | 11105.981 | 61.124 | 0 |
| Residuals | 86 | 15625.916 | 181.697 | ||
