Results
Linear Regression
Model Summary - Jahres Einkommen
|
|||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | R | R² | Adjusted R² | RMSE | R² Change | df1 | df2 | p | |||||||||
| M₀ | 0.000 | 0.000 | 0.000 | 11934.986 | 0.000 | 0 | 23 | ||||||||||
| M₁ | 0.513 | 0.264 | 0.230 | 10471.817 | 0.264 | 1 | 22 | 0.010 | |||||||||
| Note. M₁ includes Körpergröße | |||||||||||||||||
ANOVA
|
|||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | Sum of Squares | df | Mean Square | F | p | ||||||||
| M₁ | Regression | 8.637×10+8 | 1 | 8.637×10+8 | 7.876 | 0.010 | |||||||
| Residual | 2.412×10+9 | 22 | 1.097×10+8 | ||||||||||
| Total | 3.276×10+9 | 23 | |||||||||||
| Note. M₁ includes Körpergröße | |||||||||||||
| Note. The intercept model is omitted, as no meaningful information can be shown. | |||||||||||||
Coefficients
|
|||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | Unstandardized | Standard Error | Standardized | t | p | ||||||||
| M₀ | (Intercept) | 47170.833 | 2436.219 | 19.362 | < .001 | ||||||||
| M₁ | (Intercept) | -182371.589 | 81817.947 | -2.229 | 0.036 | ||||||||
| Körpergröße | 1391.869 | 495.948 | 0.513 | 2.806 | 0.010 | ||||||||
Descriptives
|
|||||||||
|---|---|---|---|---|---|---|---|---|---|
| N | Mean | SD | SE | ||||||
| Jahres Einkommen | 24 | 47170.833 | 11934.986 | 2436.219 | |||||
| Körpergröße | 24 | 164.917 | 4.403 | 0.899 | |||||
Residuals vs. Dependent
Residuals vs. Covariates
Residuals vs. Körpergröße
Residuals vs. Predicted
Standardized Residuals Histogram
Q-Q Plot Standardized Residuals
