Linear Regression Model | ||||
Y ~ X - 1 | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | X | 5.691 | 1.703 | 3.342 | 0.002 |
- - - | ||||
Residual Std. Err. | 48.122 on 33 df | |||
Multiple R-sq. | 0.253 | |||
Adjusted R-sq. | 0.23 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
dWt | 1 | 25869.333 | 25869.333 | 11.171 | 0.002 |
Residuals | 33 | 76417.667 | 2315.687 |