| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 127.461 | 7.605 | 16.759 | 0 | X | -0.627 | 0.128 | -4.919 | 0 |
| - - - | ||||
| Residual Std. Err. | 22.601 on 86 df | |||
| Multiple R-sq. | 0.22 | |||
| Adjusted R-sq. | 0.21 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 12359.84 | 12359.84 | 24.196 | 0 |
| Residuals | 86 | 43930.114 | 510.815 | ||
