Investigators evaluated the effect of education (E1=1 if college or more, E2=1 if Masters degree or more less than college), Mother's Education (M=1 if college or more, Ọ otherwise), and age (A, continuous, in ye 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.
Investigators evaluated the effect of education (E1=1 if college or more, E2=1 if Masters degree or more less than college), Mother's Education (M=1 if college or more, Ọ otherwise), and age (A, continuous, in ye 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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For 35 years old, who have mothers has a high school education. Calculate the odds of employment for those with a masters degree versus the odds of employment who does with a college degree. Calculate the odds ratio to three decimal places beyond.
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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