Results

用線性模型處理二因子獨立樣本共變數分析 ~ 有納入交互作用

Model Fit Measures
ModelR
10.9380.880

 

Omnibus ANOVA Test
 Sum of SquaresdfMean SquareFp
age3341334.46.390.023
stress5511550.510.530.005
commute1191119.52.280.151
stress ✻ commute7401740.114.150.002
Residuals7841552.3  
Note. Type 3 sum of squares
[3]

 

Model Coefficients - happiness
PredictorEstimateSEtp
Intercept ᵃ49.8936.1728.08< .001
age-0.3760.149-2.530.023
stress:    
low – high14.9774.6163.240.005
commute:    
cycle – drive7.4694.9421.510.151
stress ✻ commute:    
(low – high) ✻ (cycle – drive)27.2617.2473.760.002
ᵃ Represents reference level

 

References

[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).

[3] Fox, J., & Weisberg, S. (2020). car: Companion to Applied Regression. [R package]. Retrieved from https://cran.r-project.org/package=car.