Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -0.51 | 34.329 | -0.015 | 0.989 | X | 1.68 | 11.456 | 0.147 | 0.889 |
- - - | ||||
Residual Std. Err. | 45.16 on 5 df | |||
Multiple R-sq. | 0.004 | |||
Adjusted R-sq. | -0.195 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
X | 1 | 43.836 | 43.836 | 0.021 | 0.889 |
Residuals | 5 | 10197.021 | 2039.404 |