Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 16.083 | 14.543 | 1.106 | 0.273 | X | 0.333 | 0.146 | 2.279 | 0.026 |
- - - | ||||
Residual Std. Err. | 12.637 on 64 df | |||
Multiple R-sq. | 0.075 | |||
Adjusted R-sq. | 0.061 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
IQ | 1 | 829.206 | 829.206 | 5.192 | 0.026 |
Residuals | 64 | 10220.733 | 159.699 |