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Including additional regressors can be useful both for causal inference and prediction. but for different reasons. For both causal inference and prediction, provid one reason why it is important to include these other variables in the model.

Including additional regressors can be useful both for causal inference and prediction. but for different reasons. For both causal inference and prediction, provid one reason why it is important to include these other variables in the model.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Including additional regressors can be useful both for causal inference and prediction. but for different reasons. For both causal inference and prediction, provide one reason why it is important to include these other variables in the model.
Transcribed Image Text:Including additional regressors can be useful both for causal inference and prediction. but for different reasons. For both causal inference and prediction, provide one reason why it is important to include these other variables in the model.
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