CATEGORICAL DATA ANALYSIS USING LOGISTIC REGRESSION

Abstract

In this paper we will discuss the topic: Analysis of categorized data using logistic regression. Starting with some basic knowledge about variables, random variables and discrete variables we get to the variables of the categorized type. The categorized data that will be analyzed in this paper will be of the type that will use the logistic regression method. The rest of the paper will focus on logistic regression and then the combination of these in the title of the topic mentioned above. Logistic regression is a technique widely used for categorical data analysis, offering increased flexibility compared to traditional intersection analysis. A binary result can be predicted using one or more categorical variables, continuous variables or combinations.