Question

9. For this question, a regression model was created and run to test the effect of a respondent’s parents and/or spouse’s level of educational attainment on the respondent’s own level of educational a...

9. For this question, a regression model was created and run to test the effect of a respondent’s parents and/or spouse’s level of educational attainment on the respondent’s own level of educational attainment, measured in years of school completed. The output was as follows:

MODEL RESULTS:               R2 (adj.)= .378           F= 109.28        p< .001

Table of Coefficients:

VARIABLE

B

Beta

t

p

(Constant)

5.574

Father’s Highest Yr. School Completed

.095

.136

2.995

.003

Mother’s Highest Yr. School Completed

.104

.121

2.600

.010

Spouse’s Highest Yr. School Completed

.445

.477

12.491

.000

Dependent: Respondent’s Highest Yr. School Completed

Answer the following questions about this model:

A. Bob’s mom has 12 years of formal education, but his dad found school difficult and dropped out after only 10 years. His wife Margaret, a true braniac, has 20 years of formal education. Make your best prediction of the number of years of formal education Bob has based on the information provided above. How did you arrive at the value of that prediction?

B. Of the independent variables listed, which one has the strongest effect on an individual’s level of educational attainment? Which one has the weakest effect? If you were asked based solely on these variables whether it was more important for someone’s schooling to “be born into brainy” or “marry brainy,” which would you say? What’s the tricky causal issue with that question? Briefly explain your answers.

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Answer #1

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