Statistics - Instructions
The regression analysis below appeared in a study of the income of planners. Note that the planners' income is the dependent variable.
Table - PLANNERS' INCOME BETA COEFFICIENTS BY GENDER
|
|
Men
|
Women
|
|
Age
|
.02
|
.08
|
|
Educationb
|
.25a
|
.30a
|
|
Marital (married = 1)
|
.05a
|
.01
|
|
Race (white = 1)
|
.01
|
.02
|
|
Agency size
|
.19a
|
.17a
|
|
Centralization
|
.04
|
-.03
|
|
Job turnover
|
-.14
|
-.10
|
|
No. planner roles
|
.03
|
-.01
|
|
Yrs. professional experience
|
.53a
|
.37a
|
|
R2
|
.600
|
.426
|
aSigniticant at the .05 level.
bEducation resealed: (I) high school; (2) 1-2 years college; (3) 3 or more years college; (4) bachelors degree; (5) I or more years graduate work; (6) masters degree; (7) I or more years graduate work after masters; (8) doctorate.
SOURCE: J. M. Mayo. Jr., job Attainment In Planning: Women Versus Men," Work and Occupation (May 1985): 152. (Copyright 1985 by Sage Publications, Inc. Reprinted with permission: Sage Publications. Inc.)
Select male or female planners to answer the following questions:
1. Compare how well the model explains the variation of income for your selected gender?
• What factors have the greatest effect of the income of planners of this gender?
• What information did you use to reach this conclusion?
2. Using the gender selected for question 1, select two of the following questions to answer about planners of the gender you selected?
• Does the evidence suggest that job turnovers are associated with higher incomes? Explain how you reached this conclusion.
• Does the evidence suggest planners' salaries were affected by racial status? Briefly explain how you reached this conclusion.
• Does the evidence suggest planners' salaries were affected by marital status? Briefly explain how you reached this conclusion?
• What does the evidence suggest about the value of taking on many different planner roles?
3. What is the difference between the annotated (a) regression coefficients and the other non-annotated coefficients?