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 |