Abstract
PurposeThe purpose of this note is to describe the concept of regression trees (RTs) for hospitality data analysis.Design/methodology/approachRT is an effective non-parametric predicting modelling approach that would free researchers from the need to force a certain functional form. The method does not require normalization or scaling of data.FindingsThe authors illustrate how RTs can be used to find a model that would result in the best prediction.Research limitations/implicationsA common challenge facing hospitality researchers is to estimate a regression model with the correct specification. RTs can help researchers identify the best explanatory model for prediction.Originality/valueThis paper describes the concept of RTs for the modelling of hospitality data.
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