| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 111.832 | 7.978 | 14.018 | 0 | X | -0.593 | 0.079 | -7.505 | 0 |
| - - - | ||||
| Residual Std. Err. | 9.397 on 86 df | |||
| Multiple R-sq. | 0.396 | |||
| Adjusted R-sq. | 0.389 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 4973.669 | 4973.669 | 56.326 | 0 |
| Residuals | 86 | 7593.922 | 88.301 | ||
