Analýza návštevníkov spravodajskej webstránky s využitím logistickej regresie

Abstract

The article analyses news website visitors who are most likely to become subscribers to paid content on that website. In order to predict the visitors, a binary logistic regression model is created using SAS statistical software. The aim of the article is to identify the factors that significantly affect the probability of subscribing to paid content on the news website. Another goal is the subsequent creation of a user profile that becomes a subscriber to paid content (locked articles on the news website), as well as a user profile for who the probability of subscribing to this content is very low.