| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -15.917 | 10.598 | -1.502 | 0.157 | X | 0.595 | 0.25 | 2.378 | 0.033 |
| - - - | ||||
| Residual Std. Err. | 12.529 on 13 df | |||
| Multiple R-sq. | 0.303 | |||
| Adjusted R-sq. | 0.249 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| BPVT | 1 | 887.504 | 887.504 | 5.653 | 0.033 |
| Residuals | 13 | 2040.804 | 156.985 | ||
