| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 135.163 | 4.782 | 28.264 | 0 | X | -0.667 | 0.089 | -7.505 | 0 |
| - - - | ||||
| Residual Std. Err. | 9.969 on 86 df | |||
| Multiple R-sq. | 0.396 | |||
| Adjusted R-sq. | 0.389 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 5597.714 | 5597.714 | 56.326 | 0 |
| Residuals | 86 | 8546.73 | 99.381 | ||
