| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 61.93 | 4.391 | 14.104 | 0 | X | -0.052 | 0.059 | -0.887 | 0.377 |
| - - - | ||||
| Residual Std. Err. | 7.994 on 97 df | |||
| Multiple R-sq. | 0.008 | |||
| Adjusted R-sq. | -0.002 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| males | 1 | 50.286 | 50.286 | 0.787 | 0.377 |
| Residuals | 97 | 6198.704 | 63.904 | ||
