
Regression analysis is a statistical technique that is
used to examine the functional relationship between a single dependent
variable and one or more independent variables. The term simple linear
regression describes a problem that involves
a single dependent variable and a single independent variable. Multiple linear regression is an application that relates two or more independent
variables to a single dependent variable.
The general form of the simple linear regression model is stated below in (1) while equation (2) shows
the general form of the multiple regression models:
Y = bo
+ b1x1 + e (1)
Y = bo
+ b1x1 + b2x2
+ ... + bkxk + e (2)
Where Y is the dependent variable; b1 , ... , bk are the k parameter estimates generated the application of the regression analysis; and, e is a
random error term.
