-	Trees are very easy to explain to people, and yes easier than linear regression
-	Useful for interpretation
-	Decision trees closely mirror human decision making process than other regression and classification methods which makes way for intuitive interpretation
-	Trees can handle qualitative predictors without creating dummy variables which leads to less model complexity 

University of Michigan - Ann Arbor

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, pp. 3-7). New York: springer.