Multiple linear regression is the most common form of [[linear regression]] analysis.  As a predictive analysis, the multiple linear regression is used to explain the relationship between one continuous dependent variable and two or more independent variables.  The independent variables can be continuous or categorical (dummy coded as appropriate).