Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 0.342 | 14.151 | 0.024 | 0.981 | X | 4.313 | 2.993 | 1.441 | 0.16 |
- - - | ||||
Residual Std. Err. | 43.85 on 31 df | |||
Multiple R-sq. | 0.063 | |||
Adjusted R-sq. | 0.033 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
dWt | 1 | 3993.743 | 3993.743 | 2.077 | 0.16 |
Residuals | 31 | 59608.5 | 1922.855 |