Regression AnalysisRegression analy

Regression Analysis
Regression analysis helps us understand how the typical value of the dependent variable changes when
any one of the independent variables is varied, while the other independent variables are held fixed.
Keeping in mind, the strong correlation between Reward and Distributive and Procedural Justice (to
avoid the problem of multicollinearity), in case of regression analysis Rewards parameter was dropped.
On taking the independent variables as Procedural and Distributive Justice and the Dependent variable
as Job satisfaction, the value of R2 derived was 0.730 which shows that 73% of the variation in Job
satisfaction can be explained by Organisational Justice ie Procedural and Distributive Justice in terms
of Financial and non financial rewards and benefits.

Hasil (Bahasa Indonesia) 2:

Regresi Analisis
analisis regresi membantu kita memahami bagaimana nilai khas perubahan variabel dependen ketika
salah satu dari variabel independen bervariasi, sedangkan variabel independen lainnya diadakan tetap.
Mengingat, korelasi yang kuat antara Reward dan Keadilan Distributif dan Prosedural ( untuk
menghindari masalah multikolinearitas), dalam kasus analisis regresi Imbalan parameter dijatuhkan.
Pada mengambil variabel independen sebagai Prosedural dan Distributif Keadilan dan variabel dependen
kepuasan kerja, nilai R2 berasal adalah 0.730 yang menunjukkan bahwa 73% dari variasi dalam pekerjaan
kepuasan dapat dijelaskan oleh Organisasi Keadilan Prosedural yaitu dan Distributif Keadilan dalam hal
Keuangan dan imbalan non finansial dan manfaat.