Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 3.736 | 2.186 | 1.709 | 0.091 | X | 0.476 | 0.089 | 5.379 | 0 |
- - - | ||||
Residual Std. Err. | 1.66 on 100 df | |||
Multiple R-sq. | 0.224 | |||
95% CI Multiple R-sq. | [0.087, 0.398] | |||
Adjusted R-sq. | 0.217 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
SKEOUSUM | 1 | 79.75 | 79.75 | 28.938 | 0 |
Residuals | 100 | 275.593 | 2.756 |