| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 14.204 | 2.724 | 5.214 | 0 | X | 0 | 0 | 17.374 | 0 |
| - - - | ||||
| Residual Std. Err. | 23.687 on 287 df | |||
| Multiple R-sq. | 0.513 | |||
| Adjusted R-sq. | 0.511 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| A | 1 | 169356.408 | 169356.408 | 301.844 | 0 |
| Residuals | 287 | 161027.855 | 561.073 | ||
