| 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 | ||
