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Multiple regression
What method includes more than one predictor?
Same principle
How does multiple regression compare to simple regression?
Prediction minus observed, same as before
How is a residual calculated in multiple regression?
Accounting for the other predictors
What does it mean to estimate one coefficient in a multiple model?
Confounding
What is it called when a third variable is associated with both predictor and outcome?
Masking
What is it called when a hidden variable cancels out a real relationship?
Separately
Why can examining each predictor on its own be misleading?
Associated with each other
What can cause predictors to give different results alone and together?