Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 3.753 | 0.424 | 8.853 | 0 | X | 0.016 | 0.005 | 3.012 | 0.005 |
- - - | ||||
Residual Std. Err. | 2.482 on 33 df | |||
Multiple R-sq. | 0.216 | |||
Adjusted R-sq. | 0.192 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
T | 1 | 55.9 | 55.9 | 9.071 | 0.005 |
Residuals | 33 | 203.359 | 6.162 |