| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 97.182 | 4.299 | 22.606 | 0 | X | -1.661 | 0.899 | -1.848 | 0.074 |
| - - - | ||||
| Residual Std. Err. | 14.469 on 33 df | |||
| Multiple R-sq. | 0.094 | |||
| Adjusted R-sq. | 0.066 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| weight | 1 | 715.04 | 715.04 | 3.415 | 0.074 |
| Residuals | 33 | 6909.067 | 209.366 | ||
