| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 107.228 | 7.665 | 13.989 | 0 | X | -0.139 | 0.139 | -1.005 | 0.319 |
| - - - | ||||
| Residual Std. Err. | 9.741 on 60 df | |||
| Multiple R-sq. | 0.017 | |||
| Adjusted R-sq. | 0 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 95.737 | 95.737 | 1.009 | 0.319 |
| Residuals | 60 | 5692.73 | 94.879 | ||
