multi-linear regression

Multi-linear regression is a generalisation of linear regression for when there are several independent variables that together can be used to predict a dependent varibale. While simple linear regression creates an equation iof the form y=mx+c, the result of multi-linear regression is of the form:
    y = m₁x₁ + m₂x₂ + m₃x₃ + ... + c,
where x₁, x₂, x₃, ... are the independent variables, y is the dependent variable to be predicted and m₁, m₂, m₃, ... together with c are constants fitted by the method.