March 2019
Beginner to intermediate
464 pages
10h 57m
English
So far, we have analyzed the types of fields that we have in the data and how the patterns differ between the engaged group and the non-engaged group. Now, we are going to discuss how to conduct and interpret regression analysis in R, using the glm function. We will first build a logistic regression model with continuous variables, and you will learn how to interpret the results. Then, we are going to discuss how to handle categorical variables when fitting regression models in R, and what impact those categorical variables have on the fitted logistic regression model.
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