How can interaction effects be included in a Multiple Linear Regression model?
- By creating new variables for interactions
- By increasing model complexity
- By reducing variables
- By using more data
Interaction effects can be included by creating new variables that represent the product of two interacting variables, allowing for combined effects to be modeled.
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