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, Ọ 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.

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, Ọ otherwise), and age (A, continuous, in years) on employment status (yes/no) using the following Logistic regression model: Logit= a + B1E1+B2E2 + B3A + B4M + B5AM 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.

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 2TI: Sales of a video game released in the year 2000 took off at first, but then steadily slowed as time...

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