Statistical Package for Social Sciences (SPSS) is one of the most popular data analyses software packages used by academics. It use cuts across all social sciences based disciplines hence, it important for all researchers to understand how to use this great tool. SPSS is used for the analyses data employing statistical methods like:
1) Simple and Multiple Regression Analyses; 2) Correlation Analyses; (Part, Partial, Bi-variate, Multivariate etc); 3) Analyses of Variance; 4) Analyses of Co-Variance; 5) Neural Networks; and so many others we may not be able to detail here.

This article is designed to show you how to use this great statistical package to perform Simple Regression Analyses and Multiple Regression Analyses. Finally, the article will show you how to interpret your results.


What is Regression?
Regression is a simple but powerful Statistical tool used for predicting or forecasting outcomes and understanding the relationships between variables of a study.

The first step in performing an analyses be it regression or correlation analysis is to open the software user interface. We assume of course that you have and understand the basics of your data-set. For example, we assume that you understand the difference between dependent and independent variables and have also been able to identify this in your data set. When you open the user interface of SPSS from its icon on your computer, you should see a screen like the one below: Go to:
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