Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -17.729 | 7.563 | -2.344 | 0.026 | X | 0.561 | 0.185 | 3.038 | 0.005 |
- - - | ||||
Residual Std. Err. | 13.353 on 28 df | |||
Multiple R-sq. | 0.248 | |||
Adjusted R-sq. | 0.221 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
BPVT | 1 | 1645.92 | 1645.92 | 9.231 | 0.005 |
Residuals | 28 | 4992.347 | 178.298 |