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Polychotomous Regression
Charles Kooperberg, Smart Bose and Charles J. Stone 1
University of Washington Department of Statistics Technical Report No. 288 Revised, May 6, 1996, An automatic procedure
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What is polychotomous regression - statistics?
Polychotomous regression, also known as multinomial regression, is a statistical method used to model relationships between multiple categorical outcome variables and one or more predictor variables.
Who is required to file polychotomous regression - statistics?
Polychotomous regression is a statistical analysis technique and does not require filing.
How to fill out polychotomous regression - statistics?
Polychotomous regression is performed using statistical software packages like R, SPSS, or SAS. The specific steps for filling out the analysis depend on the software being used.
What is the purpose of polychotomous regression - statistics?
The purpose of polychotomous regression is to analyze and understand the relationship between multiple categorical outcome variables and one or more predictor variables.
What information must be reported on polychotomous regression - statistics?
The information that must be reported in a polychotomous regression analysis depends on the specific research question and the variables being analyzed. Typically, the results include regression coefficients, odds ratios, p-values, and model fit statistics.
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