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. Calculate the odds that a 25 year old with just a college degree whose mother had a college degree is employed. Enter the odds to three decimal places.

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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, 0 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.

Calculate the odds that a 25 year old with just a college degree whose mother had a college degree is employed. Enter the odds to three decimal places.

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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, 0 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. Calculate the odds that a 25 year old with just a college degree whose mother had a college degree is employed. Enter the odds to three decimal places. [Text Box for Entry]
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