Explain Predictor Variable Value?

A “predictor variable” is a variable whose values will be used to predict the value of the target variable. It is analogous to the independent variables (i.e., variables on the right side of the equal sign) in linear regression. There must be at least one predictor variable specified for decision tree analysis; there may be many predictor variables. If more than one predictor variable is specified, DTREG will determine how the predictor variables can be combined to best predict the values of the target variable.

A difference between the predicted regression value and the actual value is called residual.