How Do You Do A Linear Regression In SPSS Or PASW Statistics?
Linear regressions can be daunting. Although they aren’t too difficult to perform in the popular statistical software suite known as SPSS (now also known as PASW Statistics), it isn’t exactly obvious how to do it if you’re unfamiliar with the concept of statistical regression. This article describes the process step by step. Note: When you perform a linear regression, you’re essentially attempting to predict the value of a dependent variable (e.g., as a person’s blood sugar level) from a host of other variables (e.g., grams of sugar consumed per day, weight, and height). If the variables are related, a statistically significant regression model should be possible to generate. This article assumes that you already have the variables that you want to use loaded into SPSS. In SPSS, select “Regression -> Linear…” from the “Analyze” menu. In the box that appears, select your dependent variable (the variable whose value you would like to predict; sometimes called “the predicted variable” o
