| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 135.648 | 4.621 | 29.357 | 0 | X | -0.69 | 0.086 | -8.006 | 0 |
| - - - | ||||
| Residual Std. Err. | 9.316 on 83 df | |||
| Multiple R-sq. | 0.436 | |||
| Adjusted R-sq. | 0.429 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| Add | 1 | 5561.938 | 5561.938 | 64.089 | 0 |
| Residuals | 83 | 7203.074 | 86.784 | ||
