| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -3.982 | 2.281 | -1.745 | 0.084 | X | 0.597 | 0.069 | 8.671 | 0 |
| - - - | ||||
| Residual Std. Err. | 3.269 on 95 df | |||
| Multiple R-sq. | 0.442 | |||
| Adjusted R-sq. | 0.436 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| min | 1 | 803.476 | 803.476 | 75.187 | 0 |
| Residuals | 95 | 1015.202 | 10.686 | ||
