| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -8.142 | 8.553 | -0.952 | 0.349 | X | 8.111 | 5.409 | 1.499 | 0.145 |
| - - - | ||||
| Residual Std. Err. | 14.814 on 28 df | |||
| Multiple R-sq. | 0.074 | |||
| Adjusted R-sq. | 0.041 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| BPVT | 1 | 493.372 | 493.372 | 2.248 | 0.145 |
| Residuals | 28 | 6144.895 | 219.461 | ||
