| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 4.081 | 6.75 | 0.605 | 0.556 | X | -0.279 | 0.37 | -0.754 | 0.464 |
| - - - | ||||
| Residual Std. Err. | 15.397 on 13 df | |||
| Multiple R-sq. | 0.042 | |||
| Adjusted R-sq. | -0.032 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| BPVT | 1 | 134.717 | 134.717 | 0.568 | 0.464 |
| Residuals | 13 | 3081.87 | 237.067 | ||
