How do you interpret the coefficients of interaction terms in a regression model?

  • The interaction coefficient indicates the effect of one variable at a specific level of the other variable
  • The interaction coefficient indicates the joint effect of the variables, independent of their individual effects
  • The interaction coefficient is a measure of the correlation between the variables
  • The interaction coefficient represents the average effect of two variables
The interaction coefficient in a regression model indicates the effect of one independent variable on the dependent variable for a specific level of another independent variable. It signifies that the effect of one variable depends on the value of another variable, thus capturing the interaction effect between the two variables.
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