When interpreting the results of a regression model, the first step is to look at the regression coefficients. Each term in the model has one. And each one describes the average difference in the value of Y for a one-unit difference in the value of the predictor variable, X, that makes up that term. It’s the effect size statistic for that term in the model.
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marginal means
The Difference Between an Odds Ratio and a Predicted Odds
May 20th, 2022 by Karen Grace-MartinUsing Marginal Means to Explain an Interaction to a Non-Statistical Audience
July 10th, 2018 by Jeff MeyerEven with a few years of experience, interpreting the coefficients of interactions in a regression table can take some time to figure out. Trying to explain these coefficients to a group of non-statistically inclined people is a daunting task.
For example, say you are going to speak to a group of dieticians. They are interested (more…)