For someone who is 35 years old and adjusting for education, calculate the odds ratio of being employed for someone whose mother had a college degree versus a mother who had a high school degree. Calculate the odds ratio to three places beyond a decimal point. 
For someone who is 35 years old and adjusting for education, calculate the odds ratio of being employed for someone whose mother had a college degree versus a mother who had a high school degree. Calculate the odds ratio to three places beyond a decimal point. 
A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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For someone who is 35 years old and adjusting for education, calculate the odds ratio of being employed for someone whose mother had a college degree versus a mother who had a high school degree. Calculate the odds ratio to three places beyond a decimal point. 
![Investigators evaluated the effect of education (E1-1 if college or more, E2=1 if Masters degree or more, E1-E2=0 if
less than college), Mother's Education (M=1 if college or more, O otherwise), and age (A, continuous, in years) on
employment status (yes/no) using the following Logistic regression model:
Logit= a + B1*E1+B2*E2 + B3*A + B4*M + B5*A*M
SAS was used to create the following estimates:
a= -2, B1-0.2, B2-0.4, B3-0.1, B4-0.3, B5=0.02.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F48993cee-6cc3-4e73-bc79-b92a75365418%2F1e03ee9d-3774-406c-be91-12e402aff541%2Fe6nuqvr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Investigators evaluated the effect of education (E1-1 if college or more, E2=1 if Masters degree or more, E1-E2=0 if
less than college), Mother's Education (M=1 if college or more, O otherwise), and age (A, continuous, in years) on
employment status (yes/no) using the following Logistic regression model:
Logit= a + B1*E1+B2*E2 + B3*A + B4*M + B5*A*M
SAS was used to create the following estimates:
a= -2, B1-0.2, B2-0.4, B3-0.1, B4-0.3, B5=0.02.
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