What is a way decision tree analysis might complement OLS regression analysis?
A) Model specification, to select predictor variables
B) Reveal unobserved heterogeneity (subpopulations requiring different predictors)
C) Identify optimal cutting points when binning continuous variables.
D) All of the above.
Correct Answer:
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Q2: In a decision tree, what is a
Q3: In a decision tree, paths through the
Q4: In a classification tree, there may be
Q5: The same predictor variable may appear in
Q6: The label for the first or top
Q8: Interaction effects are handled automatically by decision
Q9: In decision tree analysis, predictor variables may
Q10: Decision trees are
A) Nonparametric
B) Nonlinear
C) Robust against
Q11: In decision tree analysis, it is not
Q12: Selecting salient variables prior to running the
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