Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | -46.557 | 29.175 | -1.596 | 0.124 | X | 14.175 | 5.62 | 2.522 | 0.019 |
- - - | ||||
Residual Std. Err. | 82.068 on 23 df | |||
Multiple R-sq. | 0.217 | |||
Adjusted R-sq. | 0.183 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
X | 1 | 42847.824 | 42847.824 | 6.362 | 0.019 |
Residuals | 23 | 154907.216 | 6735.096 |