Kết quả bảng 1 cho thấy R2 = 0,473

Kết quả bảng 1 cho thấy R2 = 0,473 có nghĩa là các biến độc lập trong mô hình có thể giải thích
được 47.3 % sự thay đổi của biến phụ thuộc còn lại là phụ thuộc vào các biến khác không nằm trong mô hình.
Giá trị của Sig( P-value) của bảng ANOVA dùng để đánh giá sự phù hợp (tồn tại) của mô hình. Giá trị Sig nhỏ = 0.000 (thường

Kết quả (Anh) 1:

Results table 1 shows R2 = 0.473 means the independent variables in the model can explainwas 47.3% change of remaining dependent variable is dependent on other variables not in the model.The value of the Sig (P-value) of the ANOVA table is used to evaluate the suitability (exist) of the model. Small Sig value = 0.000 (usually < 5%) so the model exists.Multivariate regression results table shows 3 out of the 6 factors in related models onlinecharged with creating the motivation of your staff with the extent thought Sig. < 0.05. Includes salary, bonus, benefits, characteristics and layout work and training and developing The coefficient B are both greater than zero indicates the degree of influence between 3 independent variables and dependent. According to the results table Multivariate regression coefficient, regression equation of the form as follows:

Kết quả (Anh) 2:

Results Table 1 shows R2 = 0.473 means that the independent variables in the model can explain
the change was 47.3% of the remaining dependent variable depends on other variables in the model.
The value of Sig (P-value) of the ANOVA tables used to assess the suitability (N) of the model. Small value = 0.000 Sig (typically <5%) should model exists.
Table multivariate regression results show that 3 out of 6 of the model factors related online
properties to motivate your employees with the thought Sig. <0.05. Including wages, bonuses, benefits, features and layout work and training and development coefficients B are greater than 0 indicates the degree of influence between independent variables and three dependent variables. According to the results of multivariate regression coefficients, regression equation takes the following form: