analyze data 850 words
Lingyun017
spss.docxRegression1
Dependent Variable: Engagement
Predictors: Job fit
|
Model Summary |
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|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.709a |
.503 |
.491 |
.374940169890240 |
|
a. Predictors: (Constant), Job fit |
|
ANOVAa |
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|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
5.982 |
1 |
5.982 |
42.552 |
.000b |
|
|
Residual |
5.904 |
42 |
.141 |
|
|
|
|
Total |
11.886 |
43 |
|
|
|
|
a. Dependent Variable: Engagement |
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|
b. Predictors: (Constant), Job fit |
|
Coefficientsa |
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|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
Collinearity Statistics |
|||
|
|
B |
Std. Error |
Beta |
|
|
Tolerance |
VIF |
|
|
1 |
(Constant) |
.717 |
.455 |
|
1.578 |
.122 |
|
|
|
|
Job fit |
.798 |
.122 |
.709 |
6.523 |
.000 |
1.000 |
1.000 |
|
a. Dependent Variable: Engagement |
Regression2
Dependent Variable: Engagement
Predictors: Job satisfaction
|
Model Summary |
||||
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.690a |
.475 |
.463 |
.385294926045235 |
|
a. Predictors: (Constant), Job satisfaction |
|
ANOVAa |
||||||
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
5.651 |
1 |
5.651 |
38.069 |
.000b |
|
|
Residual |
6.235 |
42 |
.148 |
|
|
|
|
Total |
11.886 |
43 |
|
|
|
|
a. Dependent Variable: Engagement |
||||||
|
b. Predictors: (Constant), Job satisfaction |
|
Coefficientsa |
||||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
Collinearity Statistics |
|||
|
|
B |
Std. Error |
Beta |
|
|
Tolerance |
VIF |
|
|
1 |
(Constant) |
.700 |
.483 |
|
1.449 |
.155 |
|
|
|
|
Job satisfaction |
.848 |
.137 |
.690 |
6.170 |
.000 |
1.000 |
1.000 |
|
a. Dependent Variable: Engagement |
Regression3
Dependent Variable: Engagement
Predictors: Turnover intention
|
Model Summary |
||||
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.300a |
.090 |
.068 |
.507471860283210 |
|
a. Predictors: (Constant), Turnover intention |
|
ANOVAa |
||||||
|
Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
|
|
1 |
Regression |
1.070 |
1 |
1.070 |
4.156 |
.048b |
|
|
Residual |
10.816 |
42 |
.258 |
|
|
|
|
Total |
11.886 |
43 |
|
|
|
|
a. Dependent Variable: Engagement |
||||||
|
b. Predictors: (Constant), Turnover intention |
|
Coefficientsa |
||||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
Collinearity Statistics |
|||
|
|
B |
Std. Error |
Beta |
|
|
Tolerance |
VIF |
|
|
1 |
(Constant) |
4.890 |
.609 |
|
8.035 |
.000 |
|
|
|
|
Turnover intention |
-.430 |
.211 |
-.300 |
-2.039 |
.048 |
1.000 |
1.000 |
|
a. Dependent Variable: Engagement |
