| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 131.964 | 5.025 | 26.262 | 0 | X | -0.614 | 0.092 | -6.639 | 0 |
| - - - | ||||
| Residual Std. Err. | 9.839 on 83 df | |||
| Multiple R-sq. | 0.347 | |||
| Adjusted R-sq. | 0.339 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 4266.815 | 4266.815 | 44.076 | 0 |
| Residuals | 83 | 8034.879 | 96.806 | ||
