Suppose a simple logistic regression is estimated to relate the condition of contacting the Diabetics (1 = Yes, 0 = No) to current obese people (X: 1 = Yes, 0 = No) in random sample of young adults (18 - 60). The resulting estimated equation is: In(odds of diabetes) = - 2.978 + 0.391X

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter5: A Survey Of Other Common Functions
Section5.3: Modeling Data With Power Functions
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State the estimated adds ratio of Diabetes for obese people compered to non-obese people?

Suppose a simple logistic regression is estimated to relate the condition of contacting the Diabetics (1 = Yes, 0
= No) to current obese people (X: 1 = Yes, 0 = No) in random sample of young adults (18 - 60). The resulting
estimated equation is:
In(odds of diabetes) = – 2.978 + 0.391X
Transcribed Image Text:Suppose a simple logistic regression is estimated to relate the condition of contacting the Diabetics (1 = Yes, 0 = No) to current obese people (X: 1 = Yes, 0 = No) in random sample of young adults (18 - 60). The resulting estimated equation is: In(odds of diabetes) = – 2.978 + 0.391X
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