Linear Regression Model | ||||
Y ~ X - 1 | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | X | 0.5 | 0.016 | 31.121 | 0 |
- - - | ||||
Residual Std. Err. | 15.212 on 87 df | |||
Multiple R-sq. | 0.918 | |||
Adjusted R-sq. | 0.917 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
IQ | 1 | 224107.286 | 224107.286 | 968.489 | 0 |
Residuals | 87 | 20131.714 | 231.399 |