| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -19.197 | 13.186 | -1.456 | 0.149 | X | 0.686 | 0.131 | 5.235 | 0 |
| - - - | ||||
| Residual Std. Err. | 15.054 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 | 6209.916 | 6209.916 | 27.402 | 0 |
| Residuals | 85 | 19262.705 | 226.62 | ||
