**Please note that this course was designed with the PROCESS macro version 2.13. Several aspects of the interaction analysis section of this course may currently be out of date with the most recent version of this add–on to SPSS.**
Linear regression is one of the essential tools in statistical analysis. In this course, we’ll walk through step–by–step how to conduct many important analyses using SPSS.
Although you will learn the basics of what these statistics are, we’ll avoid complicated mathematical discussions and go right to what you need to know to conduct these analyses.
Linear regression is basically a tool that allows you to test relationships between many variables at the same time, control for variables’ effects, and create simple statistical models that allow you to make predictions.
In this course, we’ll cover the following key topics:
Correlations: You probably already know this, but understanding how to test the correlation between two variables gets us started in this course.
Simple Linear Regression: Taking correlations one step further by creating a statistical model.
Multiple Linear Regression: Being able to test multiple predictors at the same time and testing the unique effect of each.
Hierarchical Linear Regression: How to test for the influence of different variables by adding them to the model one at a time.
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Specification: Statistics & Data Analysis: Linear Regression Models in SPSS
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