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 Short, Long |
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 Short, Long | |||||||||||||
Note. The intercept model is omitted, as no meaningful information can be shown. |
Coefficients
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Model | Unstandardized | Standard Error | Standardizedᵃ | t | p | ||||||||
M₀ | (Intercept) | 3.467 | 0.456 | 7.597 | < .001 | ||||||||
M₁ | (Intercept) | 2.200 | 0.627 | 3.508 | 0.004 | ||||||||
Short (1) | 1.000 | 0.887 | 1.127 | 0.282 | |||||||||
Long (1) | 2.800 | 0.887 | 3.157 | 0.008 | |||||||||
ᵃ Standardized coefficients can only be computed for continuous predictors. |