Quick guide on creating dummy variables in SPSS for categorical predictors in regression.
Intermediate tutorial with practice data, examples and a handy tool.
How to run and interpret dummy variable regression in SPSS?
These 3 examples walk you through everything you need to know.
Categorical variables can't readily be used as predictors in regression analysis; they must be split up into dichotomous variables known as “dummy variables”.
This tutorial offers a super easy tool for creating these.
"I'd like to mean center a lot of variables in order to compute interaction terms for a regression analysis. Is there an easy way to do this for many variables simultaneously?"
This simple SPSS tool creates one, many or all scatterplots among a set of variables.
Optionally, it adds (non)linear fit lines and regression tables as well.
SPSS stepwise regression example. Easy-to-follow explanation of what and why with downloadable data file and annotated output.
SPSS stepwise regression analysis in normal language. With illustrations, downloadable practice data and syntax.
Multiple regression is a statistical technique that aims to predict a variable of interest from several other variables. This tutorial explains multiple regression in normal language with many illustrations and examples.