SPSS Multiple Regression Analysis Tutorial By Ruben Geert van den Berg under Regression. It is easier to understand and interpret the results from a model with dummy variables, but the results from a variable coded 1/2 yield essentially the same results. Within SPSS there are two general commands that you can use for analyzing data with a continuous dependent variable and one or more categorical predictors, the regression command and the glm command. linearity: each predictor has a linear relation with our outcome variable; 3.2 Regression with a 1/2 variable. Running a basic multiple regression analysis in SPSS is simple. Regression with a multicategory (more than two levels) variable is basically an extension of regression with a 0/1 (a.k.a.
In the “Linear Regression” dialog box that opens, move the dependent variable immigrationinto the “Dependent:” window and move the two independent variables, conformityand voterinto the “Independent(s):” window. A categorical predictor variable does not have to be coded 0/1 to be used in a regression model.
You estimate a multiple regression model in SPSS by selecting from the menu: Analyze → Regression → Linear. Instead of one dummy code however, think of k categories having k-1 dummy variables. For a thorough analysis, however, we want to make sure we satisfy the main assumptions, which are. dummy coded) or 1/2 variable.
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