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 |