| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 17.093 | 0.729 | 23.457 | 0 | X | -0.166 | 0.055 | -3.027 | 0.003 |
| - - - | ||||
| Residual Std. Err. | 2.201 on 160 df | |||
| Multiple R-sq. | 0.054 | |||
| Adjusted R-sq. | 0.048 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Depression | 1 | 44.383 | 44.383 | 9.16 | 0.003 |
| Residuals | 160 | 775.222 | 4.845 | ||
