| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 19.459 | 0.642 | 30.32 | 0 | X | -0.423 | 0.048 | -8.745 | 0 |
| - - - | ||||
| Residual Std. Err. | 1.899 on 154 df | |||
| Multiple R-sq. | 0.332 | |||
| Adjusted R-sq. | 0.327 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| depression | 1 | 275.744 | 275.744 | 76.478 | 0 |
| Residuals | 154 | 555.25 | 3.606 | ||
