| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -26.265 | 6.315 | -4.16 | 0 | X | 0.812 | 0.16 | 5.069 | 0 |
| - - - | ||||
| Residual Std. Err. | 10.107 on 29 df | |||
| Multiple R-sq. | 0.47 | |||
| Adjusted R-sq. | 0.451 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| BPVT | 1 | 2624.19 | 2624.19 | 25.69 | 0 |
| Residuals | 29 | 2962.303 | 102.148 | ||
