Using this example, what is the odd ratio representing the odds of being infected with Covid for a person living in a single home with multiple families compared to a person living in a single home with a single family with multiple generations?  Enter the answer up to three digits after decimal

MATLAB: An Introduction with Applications
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Using this example, what is the odd ratio representing the odds of being infected with Covid for a person living in a single home with multiple families compared to a person living in a single home with a single family with multiple generations?  Enter the answer up to three digits after decimal
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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