# Regression in SPSS

• In this section, we will learn Linear Regression. Linear regression is used to study the cause and effect relationship between the variable. Now there are many types of regression. When we do a cause and effect analysis, we begin with linear regression.
• Linear regression refers to an analysis used to establish the cause and effect between two variables. We presumed that they are linearly related.
• Linear regression means that if we increase the independent variable or input variable by one unit or sum unit, there will be a fixed amount of increase in the dependent variable. So if we want to quantify for every unit increase in the independent variable, what would be the increase or decrease in the dependent variable. In this case, we have a linear regression kind of arrangement.

### When to use Linear Regression

• Linear regression is used when we want to study the effect of one independent variable on one dependent variable. If we have many independent variables, it will be the case of multiple regressions.
• In linear regression, we see the influence of only one independent variable on one dependent variable. That is the important point to keep in mind.    