| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 18.99 | 2.45 | 7.752 | 0 | X | 0.708 | 0.036 | 19.504 | 0 |
| - - - | ||||
| Residual Std. Err. | 7.728 on 198 df | |||
| Multiple R-sq. | 0.658 | |||
| Adjusted R-sq. | 0.656 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| dWt | 1 | 22722.586 | 22722.586 | 380.425 | 0 |
| Residuals | 198 | 11826.434 | 59.729 | ||
