| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 8 | 5.607 | 1.427 | 0.165 | X | 6.733 | 3.546 | 1.899 | 0.068 |
| - - - | ||||
| Residual Std. Err. | 9.711 on 28 df | |||
| Multiple R-sq. | 0.114 | |||
| Adjusted R-sq. | 0.082 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| gender | 1 | 340.033 | 340.033 | 3.606 | 0.068 |
| Residuals | 28 | 2640.667 | 94.31 | ||
