Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 14.818 | 0.863 | 17.167 | 0 | X | -1.062 | 0.891 | -1.192 | 0.235 |
- - - | ||||
Residual Std. Err. | 2.863 on 177 df | |||
Multiple R-sq. | 0.008 | |||
95% CI Multiple R-sq. | [0, 0.037] | |||
Adjusted R-sq. | 0.002 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
excelC | 1 | 11.649 | 11.649 | 1.421 | 0.235 |
Residuals | 177 | 1450.63 | 8.196 |