Regression analysis question , statistics homework help
Regression analysis question , statistics homework help
The following is the result of multiple regression analysis to predict salary.
Based on the following SPSS result table, please interpret the effects of education, years of services, and gender (female dummy) on the salary level.
Interpret the result of the female dummy coefficient.
If you believe that men were paid more than women, what would you conclude after conducting this analysis?
|
Model Summary |
||||
|
Model |
R |
R Square |
Adjusted R Square |
Std. Error of the Estimate |
|
1 |
.810a |
.650 |
.530 |
11334.16409 |
|
a. Predictors: (Constant), Female, YOS, EDUC |
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|
Coefficientsa |
||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
|
B |
Std. Error |
Beta |
||||
|
1 |
(Constant) |
-35400 |
20250 |
-1.847 |
.102 |
|
|
EDUC |
4200 |
1230 |
.806 |
3.389 |
.010 |
|
|
YOS |
750 |
540 |
.307 |
1.477 |
.178 |
|
|
Female |
-4300 |
7000 |
.278 |
1.181 |
.021 |
|
|
a. Dependent Variable: SALARY |
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