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Chapter 14 Categorical response variable model

So far we have discussed the models, where the response variable was numerical (e.g. weight, sales, price etc). However, there are cases, when we need to have predictions of categorical variables. For example, predicting what colour of t-shirt will be more popular next year or what type of service a group of consumers would prefer based on their characteristics. The topic of prediction of categorical variables is huge and can be solved using a variety of instruments. The interested reader is suggested to learn about the methods in this context from Faraway (2016).

References

• Faraway, J.J., 2016. Extending the linear model with r. Taylor & Francis Group. https://julianfaraway.github.io/faraway/ELM/