Application of Tree Regression in Long Study of University of Jember‘s Student Use R Program

Authors

  • Yuliani Setia Dewi

Abstract

This research aimed to implemate tree  regression with one respon and six explanatory variables in R program
and apply it to know variables which distinguish long study of University of Jember’ student. We can use “treeâ€
function to form tree regression in R.  The result of  research shows that the rate of long study University of
Jember’s Student is 1802 days. Based on structure of tree we can know that variables can used to distinguish
university of Jember’s students in long study are GPA, time used for doing minithesis and faculty From
implementation of tree regression,it is known that tree regression can identify variables locally, reveal
interactions in the data set, no variable is assumed to follow any kind of statistical distribution and easy to
interpret.

Keywords : tree regression, R program , tree function, long study

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