Linear Regression Model | ||||
Y ~ X - 1 | ||||
coefficients: | ||||
Estimate | Std. Error | t value | Pr(>|t|) | X | 0 | 0 | 32.48 | 0 |
- - - | ||||
Residual Std. Err. | 1.751 on 59 df | |||
Multiple R-sq. | 0.947 | |||
Adjusted R-sq. | 0.946 |
ANOVA Statistics | |||||
Df | Sum Sq | Mean Sq | F value | Pr(>F) | |
personenwagens | 1 | 3235.518 | 3235.518 | 1054.953 | 0 |
Residuals | 59 | 180.952 | 3.067 |