| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 0 | 0 | -0.896 | 0.377 | X | -1 | 0 | -29541683002366164 | 0 |
| - - - | ||||
| Residual Std. Err. | 0 on 31 df | |||
| Multiple R-sq. | 1 | |||
| Adjusted R-sq. | 1 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| W | 1 | 214913.636 | 214913.636 | 8.7271103461229e+32 | 0 |
| Residuals | 31 | 0 | 0 | ||
