Questions
2025WI_MSDS_410-DL_SEC56 Quiz #5: Poisson and ZIP Regression
True/False
Poisson Regression uses a logistic transformation on Y so that a linear model can be used on the transformed data.
Options
A.True
B.False
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Step-by-Step Analysis
The question asks about the statement: 'Poisson Regression uses a logistic transformation on Y so that a linear model can be used on the transformed data.'
Option 1: True. This option asserts that Poisson regression relies on a logistic transformation of the response variable Y to fit a linear m......Login to view full explanationLog in for full answers
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Similar Questions
A measure of goodness of fit of a Poisson regression model is deviance. In comparing two Poisson regression models, if you compute the deviance for each model, then calculate: drop-in-deviance = residual deviance for reduced model - residual deviance for the larger model. A large drop-in-deviance favors the larger model.
Ideally, the observed data should have the sample mean equal to the sample variance (or close to one another except for randomness) in order for the Poisson Regression model to be appropriate for that data. If the observed count data for a sample has a variance that is larger than the sample mean, it is said to be over dispersed.
Poisson regression is a type of Generalized Linear Model.
A Poisson model is a good choice of regression model in which of the following situations:
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