| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -13.848 | 7.141 | -1.939 | 0.064 | X | 0.413 | 0.19 | 2.172 | 0.04 |
| - - - | ||||
| Residual Std. Err. | 10.394 on 25 df | |||
| Multiple R-sq. | 0.159 | |||
| Adjusted R-sq. | 0.125 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| BPVT | 1 | 509.489 | 509.489 | 4.716 | 0.04 |
| Residuals | 25 | 2700.788 | 108.032 | ||
