| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 16.498 | 0.598 | 27.606 | 0 | X | -0.163 | 0.043 | -3.842 | 0 |
| - - - | ||||
| Residual Std. Err. | 2.394 on 262 df | |||
| Multiple R-sq. | 0.053 | |||
| Adjusted R-sq. | 0.05 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| depression | 1 | 84.604 | 84.604 | 14.76 | 0 |
| Residuals | 262 | 1501.759 | 5.732 | ||
