| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -103.744 | 252.933 | -0.41 | 0.691 | X | 3.127 | 2.469 | 1.267 | 0.237 |
| - - - | ||||
| Residual Std. Err. | 90.739 on 9 df | |||
| Multiple R-sq. | 0.151 | |||
| Adjusted R-sq. | 0.057 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| X | 1 | 13207.792 | 13207.792 | 1.604 | 0.237 |
| Residuals | 9 | 74102.39 | 8233.599 | ||
