Model Summary - Happiness
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|---|---|---|---|---|---|---|---|---|---|
| Model | R | R² | Adjusted R² | RMSE | |||||
| M₀ | 0.000 | 0.000 | 0.000 | 1.767 | |||||
| M₁ | 0.679 | 0.460 | 0.370 | 1.402 | |||||
| Note. M₁ includes Puppies_vs_none, Long_vs_short | |||||||||
ANOVA
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | Sum of Squares | df | Mean Square | F | p | ||||||||
| M₁ | Regression | 20.133 | 2 | 10.067 | 5.119 | 0.025 | |||||||
| Residual | 23.600 | 12 | 1.967 | ||||||||||
| Total | 43.733 | 14 | |||||||||||
| Note. M₁ includes Puppies_vs_none, Long_vs_short | |||||||||||||
| Note. The intercept model is omitted, as no meaningful information can be shown. | |||||||||||||
Coefficients
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Model | Unstandardized | Standard Error | Standardized | t | p | ||||||||
| M₀ | (Intercept) | 3.467 | 0.456 | 7.597 | < .001 | ||||||||
| M₁ | (Intercept) | 3.467 | 0.362 | 9.574 | < .001 | ||||||||
| Puppies_vs_none | 1.900 | 0.768 | 0.525 | 2.474 | 0.029 | ||||||||
| Long_vs_short | 1.800 | 0.887 | 0.430 | 2.029 | 0.065 | ||||||||