| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 1717.751 | 20 | 85.886 | 0 | X | -396.056 | 57.786 | -6.854 | 0 |
| - - - | ||||
| Residual Std. Err. | 260.004 on 190 df | |||
| Multiple R-sq. | 0.198 | |||
| 95% CI Multiple R-sq. | [0.113, 0.296] | |||
| Adjusted R-sq. | 0.194 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Belt | 1 | 3175602.438 | 3175602.438 | 46.975 | 0 |
| Residuals | 190 | 12844428.432 | 67602.255 | ||
