| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -18.147 | 12.982 | -1.398 | 0.166 | X | 0.675 | 0.129 | 5.232 | 0 |
| - - - | ||||
| Residual Std. Err. | 14.943 on 85 df | |||
| Multiple R-sq. | 0.244 | |||
| Adjusted R-sq. | 0.235 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 6111.475 | 6111.475 | 27.371 | 0 |
| Residuals | 85 | 18978.962 | 223.282 | ||
