What is the statistical interpretation of interaction effects in Multiple Linear Regression?
- Combined effect of two variables affecting the dependent variable
- Minimizing overfitting
- Removing irrelevant features
- Transforming variables into linear space
Interaction effects statistically represent the combined effect of two or more variables on the dependent variable. They capture relationships that are not apparent when variables are considered separately.
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