Linear Regression Model | ||||
Y ~ X | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | (Intercept) | 3.714 | 0.472 | 7.876 | 0 | X | 0.017 | 0.009 | 2.015 | 0.052 |
- - - | ||||
Residual Std. Err. | 2.519 on 32 df | |||
Multiple R-sq. | 0.113 | |||
Adjusted R-sq. | 0.085 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
dtg | 1 | 25.762 | 25.762 | 4.059 | 0.052 |
Residuals | 32 | 203.096 | 6.347 |