| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -15.661 | 6.362 | -2.462 | 0.021 | X | 0.472 | 0.157 | 3.014 | 0.006 |
| - - - | ||||
| Residual Std. Err. | 11.186 on 27 df | |||
| Multiple R-sq. | 0.252 | |||
| Adjusted R-sq. | 0.224 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| BPVT | 1 | 1136.472 | 1136.472 | 9.083 | 0.006 |
| Residuals | 27 | 3378.381 | 125.125 | ||
