What are interaction terms in regression?

In regression, an interaction effect exists when the effect of an independent variable on a dependent variable changes, depending on the value(s) of one or more other independent variables.

What is an interaction term in Stata?

Stata: Data Analysis and Statistical Software You can put a # between two variables to create an interaction–indicators for each combination of the categories of the variables. You can put ## instead to specify a full factorial of the variables—main effects for each variable and an interaction.

What are interaction variables?

An interaction variable or interaction feature is a variable constructed from an original set of variables to try to represent either all of the interaction present or some part of it.

What is an interaction describe an example?

An interaction is often described as a physical field, and is mediated by the exchange of gauge bosons between particles. For example, the interaction of charged particles takes place through the mediation of electromagnetic fields, whereas beta decay occurs by means of the weak interaction. An interaction is fundamental when it cannot be described in terms of other interactions.

What is interaction effect in statistics?

In statistics, an interaction is a special property of three or more variables, where two or more variables interact to affect a third variable in a non-additive manner. In other words, the two variables interact to have an effect that is more than the sum of their parts.

What is interaction variable in statistics?

Interaction variable. In statistics, an interaction variable is one of variables often used in regression analysis. It is formed by the multiplication of two independent variables. Usage of interaction variables, while offering some useful data, also raises the issues of multicollinearity .

What is interaction term in statistics?

In statistics, an interaction is a term in a statistical model in which the effect of two, or more, variables is not simply additive. If we were examining the effect of two variables, gender and premature birth, on health outcomes, we would describe any difference in health outcome scores between genders as a main effect.