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Can you have an interaction between two continuous variables?
It means that the slope of one continuous variable on the response variable changes as the values on a second continuous change. Multiple regression models often contain interaction terms. In other words, a regression model that has a significant two-way interaction of continuous variables.
What does a significant two-way interaction mean?
A statistically significant two-way interaction indicates that there are differences in the influence of each independent variable at their different levels (e.g., the effect of a1 and a2 at b1 is different from the effect of a1 and a2 at b2). See also higher order interaction.
What does a significant continuous by continuous interaction mean?
First off, let’s start with what a significant continuous by continuous interaction means. It means that the slope of one continuous variable on the response variable changes as the values on a second continuous change. Multiple regression models often contain interaction terms.
What does the presence of a significant interaction mean?
The presence of a significant interaction indicates that the effect of one predictor variable on the response variable is different at different values of the other predictor variable. It is tested by adding a term to the model in which the two predictor variables are multiplied.
How to interpret a significant interaction in regression?
Interpreting Interactions in Regression. The presence of a significant interaction indicates that the effect of one predictor variable on the response variable is different at different values of the other predictor variable. It is tested by adding a term to the model in which the two predictor variables are multiplied.
Is the interaction to be conceptualized in logistic regression?
If the differences are not different then there is no interaction. But in logistic regression interaction is a more complex concept. Researchers need to decide on how to conceptualize the interaction. Is the interaction to be conceptualized in terms of log odds (logits) or odds ratios or probability?