Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 90.569 | 5.126 | 17.669 | 0 | X | 0.187 | 0.095 | 1.967 | 0.053 |
- - - | ||||
Residual Std. Err. | 13.859 on 73 df | |||
Multiple R-sq. | 0.05 | |||
Adjusted R-sq. | 0.037 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
Grade | 1 | 742.902 | 742.902 | 3.868 | 0.053 |
Residuals | 73 | 14020.484 | 192.061 |