| Linear Regression Model | ||||
| Y ~ X | ||||
| coefficients: | ||||
| Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -22.154 | 12.768 | -1.735 | 0.086 | X | 0.717 | 0.126 | 5.674 | 0 |
| - - - | ||||
| Residual Std. Err. | 15.039 on 86 df | |||
| Multiple R-sq. | 0.272 | |||
| Adjusted R-sq. | 0.264 | |||
| ANOVA Statistics | |||||
| Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
| IQ | 1 | 7281.107 | 7281.107 | 32.193 | 0 |
| Residuals | 86 | 19450.79 | 226.172 | ||
