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.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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=CONFIDENCE.T (0.1, 3.533, 16