Results

Linear Regression: Dummies

Model Summary - Happiness
Model R Adjusted R² RMSE
M₀ 0.246 0.061 0.027 1.929
M₁ 0.536 0.288 0.205 1.744
Note.  M₀ includes Puppy_love
Note.  M₁ includes Puppy_love, Low_control, High_control
ANOVA
Model   Sum of Squares df Mean Square F p
M₀ Regression 6.734 1 6.734 1.809 0.189
  Residual 104.232 28 3.723  
  Total 110.967 29  
M₁ Regression 31.920 3 10.640 3.500 0.030
  Residual 79.047 26 3.040  
  Total 110.967 29  
Note.  M₀ includes Puppy_love
Note.  M₁ includes Puppy_love, Low_control, High_control
Coefficients
Model   Unstandardized Standard Error Standardizedᵃ t p
M₀ (Intercept) 3.657 0.634 5.764 < .001
  Puppy_love 0.260 0.193 0.246 1.345 0.189
M₁ (Intercept) 1.789 0.867 2.063 0.049
  Puppy_love 0.416 0.187 0.395 2.227 0.035
  Low_control (1) 1.786 0.849 2.102 0.045
  High_control (1) 2.225 0.803 2.771 0.010
ᵃ Standardized coefficients can only be computed for continuous predictors.

Linear Regression

Model Summary - Happiness
Model R Adjusted R² RMSE
M₀ 0.390 0.152 0.089 1.867
M₁ 0.536 0.288 0.205 1.744
Note.  M₀ includes Dose
Note.  M₁ includes Puppy_love, Dose
ANOVA
Model   Sum of Squares df Mean Square F p
M₀ Regression 16.844 2 8.422 2.416 0.108
  Residual 94.123 27 3.486  
  Total 110.967 29  
M₁ Regression 31.920 3 10.640 3.500 0.030
  Residual 79.047 26 3.040  
  Total 110.967 29  
Note.  M₀ includes Dose
Note.  M₁ includes Puppy_love, Dose
Coefficients
Model   Unstandardized Standard Error Standardizedᵃ t p
M₀ (Intercept) 3.222 0.622 5.177 < .001
  Dose (15 mins) 1.653 0.907 1.822 0.080
  Dose (30 mins) 1.624 0.810 2.006 0.055
M₁ (Intercept) 1.789 0.867 2.063 0.049
  Puppy_love 0.416 0.187 0.395 2.227 0.035
  Dose (15 mins) 1.786 0.849 2.102 0.045
  Dose (30 mins) 2.225 0.803 2.771 0.010
ᵃ Standardized coefficients can only be computed for continuous predictors.