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 |