In this example, what is the probability of a person who lives in a single home with a single family with multiple generations getting infected with Covid? Enter the answer to three digits after the decimal place.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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In this example, what is the probability of a person who lives in a single home with a single family with multiple generations getting infected with Covid? Enter the answer to three digits after the decimal place. 
Suppose that the log-odds of contracting COVID were modeled as a function of living situation. Based on the data
collected, indicator variables representing living situations were defined as follows:
Z1 = Lived in apartment building with single nuclear family (e.g., parents and children)
Z2 = Lived in apartment building with a single family including multiple generations (>2 generations)
Z3 = Lived in single-home or town house with multiple families
Z4 = Lived in single-home or town house with a single family including multiple generations (>2 generations)
Reference category: Lived in single home or town house with single nuclear family
The fitted logistic regression equation was found to be:
logit-0.20 +0.10 Z1 + 0.30*Z2 + 0.45*Z3+ 0.20*Z4.
Transcribed Image Text:Suppose that the log-odds of contracting COVID were modeled as a function of living situation. Based on the data collected, indicator variables representing living situations were defined as follows: Z1 = Lived in apartment building with single nuclear family (e.g., parents and children) Z2 = Lived in apartment building with a single family including multiple generations (>2 generations) Z3 = Lived in single-home or town house with multiple families Z4 = Lived in single-home or town house with a single family including multiple generations (>2 generations) Reference category: Lived in single home or town house with single nuclear family The fitted logistic regression equation was found to be: logit-0.20 +0.10 Z1 + 0.30*Z2 + 0.45*Z3+ 0.20*Z4.
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