Explain interaction terms in regression.

Explain interaction terms in regression.

• A. They always indicate multicollinearity issues.
• B. They remove the effect of one predictor when another is present.
• C. They are used to center variables to reduce collinearity.
• D. They test whether the effect of one predictor on the outcome depends on the level of another predictor.

Answer: (D)