Is decision tree regression comparable to locally weighted regression
There are two important differences between decision trees and regression:

Decision tree fit a straight a line (mean of the dependent variable for the feature space). Regression fits a sloped line (rise over run).

Decision trees typically do not predict values outside the observed range. Linear regression can predict values outside the observed range.