Suppressor variables are commonly defined as variables that are correlated with another predictor & causally unrelated to the response, but that are nonetheless significant in a multiple regression model & enhance the significance, magnitude of effect, or predictive value of the other variable.
I'm having a wierd kind of effect I don't fully understand when running an ANCOVA analysis. To keep it simple I have a variable X and a variable Y, these variables are significantly correlated to ...
What is a suppressor variable in multiple regression and what might be the ways to display suppression effect visually (its mechanics or its evidence in results)? I'd like to invite everybody who has ...
I am analyzing data using path analysis and I am hoping someone here can help. In my model, I am looking at predictors of a variable, $Y$. In the path model, $Y$ has 4 significant predictors lets ...
I have what is probably a simple question, but it is baffling me right now, so I am hoping you can help me out. I have a least squares regression model, with one independent variable and one ...
I do not fully understand how to interpret the difference between two statistical models where they only differ based on whether a certain variable is included on the right hand side. If the results ...
I am doing a discriminant function analysis and I have four continous independent variables and one categorical dependent variable (that has 3 groups). I have chosen to do this analysis to see how ...
Suppose I want to see whether $z$ is a confounder for a model with $y$ the outcome variable and $x$ the predictor. If I adjust for $z$, and the adjusted coefficient of $x$ changes versus the ...