Contents
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 is the regression command in Stata?
The basic linear regression command in Stata is simply regress [y variable] [x variables], [options] The regress command output includes an ANOVA table, but depending on the options you specify, this may not be relevant and migt, in fact, be suppressed.
How to define a male effect in Stata?
First, when you specify an interaction in Stata, it’s preferable to also specify whether the predictor is continuous or categorical (by default Stata assumes interaction variables are categorical). The interaction is the male effect for a particular exercise type.
How to regress interactions in Stata Chapter 6?
6.2.1 Analyzing simple effects using xi3 and regress In order to look at the simple effects of collcat at the different levels of mealcat, we will use the @ symbol instead of * to indicate that we want the interaction terms to reflect the simple effects of collcat at each level of mealcat.
Why is Stata-regression-command assumes continuous variables?
This might be somewhat counterintuitive to the overall regression syntax, as outside of interaction terms, Stata’s -regression- command assumes variables are continuous. If you forget to define your continuous variables however, you will either produce an unnecessarily long output or, if your numerical variable has decimals, an error:
What are the interaction terms in Stata hashtag code?
In Stata, -i. [variable]- indicates that the variable is categorical, and -c. [variable]- indicates a continuous variable. Because the hashtag code assumes the variables in the interaction term are categorical, it is necessary to define numerical variables as numerical with the -c.- prefix.