| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -54.503 | 35.852 | -1.52 | 0.146 | X | 17.574 | 7.009 | 2.507 | 0.022 |
| - - - | ||||
| Residual Std. Err. | 87.56 on 18 df | |||
| Multiple R-sq. | 0.259 | |||
| Adjusted R-sq. | 0.218 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Weight-Loss | 1 | 48198.187 | 48198.187 | 6.287 | 0.022 |
| Residuals | 18 | 138003.013 | 7666.834 | ||
