| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -14.605 | 13.425 | -1.088 | 0.28 | X | 0.638 | 0.134 | 4.76 | 0 |
| - - - | ||||
| Residual Std. Err. | 14.937 on 84 df | |||
| Multiple R-sq. | 0.212 | |||
| Adjusted R-sq. | 0.203 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 5055.61 | 5055.61 | 22.659 | 0 |
| Residuals | 84 | 18742.111 | 223.12 | ||
