| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 19.228 | 0.651 | 29.525 | 0 | X | -0.402 | 0.049 | -8.206 | 0 |
| - - - | ||||
| Residual Std. Err. | 1.967 on 160 df | |||
| Multiple R-sq. | 0.296 | |||
| Adjusted R-sq. | 0.292 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Depression | 1 | 260.587 | 260.587 | 67.336 | 0 |
| Residuals | 160 | 619.191 | 3.87 | ||
