How can you detect the presence of interaction effects in your data?
- By adding interaction terms in the regression model and checking their significance
- By checking the coefficients of the independent variables
- By comparing the fit of the model with and without polynomial terms
- By examining the correlation between variables
To detect the presence of interaction effects in your data, you can include interaction terms in your regression model and then check the significance of these terms. If the interaction term is statistically significant, this suggests that the effect of one variable on the dependent variable depends on the level of another variable.
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