| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 48.868 | 8.483 | 5.761 | 0 | X | 0.019 | 0.084 | 0.224 | 0.824 |
| - - - | ||||
| Residual Std. Err. | 9.992 on 86 df | |||
| Multiple R-sq. | 0.001 | |||
| Adjusted R-sq. | -0.011 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 4.993 | 4.993 | 0.05 | 0.824 |
| Residuals | 86 | 8585.507 | 99.831 | ||
