| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 23.097 | 16.064 | 1.438 | 0.156 | X | 0.269 | 0.161 | 1.67 | 0.1 |
| - - - | ||||
| Residual Std. Err. | 12.383 on 60 df | |||
| Multiple R-sq. | 0.044 | |||
| Adjusted R-sq. | 0.028 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 427.521 | 427.521 | 2.788 | 0.1 |
| Residuals | 60 | 9200.754 | 153.346 | ||
