| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -2.365 | 14.253 | -0.166 | 0.869 | X | 5.632 | 3.03 | 1.859 | 0.073 |
| - - - | ||||
| Residual Std. Err. | 42.55 on 29 df | |||
| Multiple R-sq. | 0.106 | |||
| Adjusted R-sq. | 0.076 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| dWt | 1 | 6256.716 | 6256.716 | 3.456 | 0.073 |
| Residuals | 29 | 52505.284 | 1810.527 | ||
