| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 0 | 0 | 0 | 1 | X | 1 | 0 | 118378000947287120 | 0 |
| - - - | ||||
| Residual Std. Err. | 0 on 86 df | |||
| Multiple R-sq. | 1 | |||
| Adjusted R-sq. | 1 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 14144.443 | 14144.443 | 1.40133511082759e+34 | 0 |
| Residuals | 86 | 0 | 0 | ||
