| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 127.237 | 5.727 | 22.216 | 0 | X | -0.54 | 0.105 | -5.163 | 0 |
| - - - | ||||
| Residual Std. Err. | 9.045 on 53 df | |||
| Multiple R-sq. | 0.335 | |||
| Adjusted R-sq. | 0.322 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 2180.694 | 2180.694 | 26.657 | 0 |
| Residuals | 53 | 4335.742 | 81.806 | ||
