Regression analysis involves
finding the line of best fit through a series
of points. The calculation to find the line of
best fit uses the least squares method
and the outcome is a regression equation.
Regression analysis should always be carried
out in conjunction with correlation analysis
to find the goodness of fit.
Types of regression analysis include:
 Linear Regression  a linear
relationship with one input and one output
 Logistics Regression  the
output is a probability
 Multiple Linear Regression
 a linear relationship with several inputs
Note that if there are several inputs and/or
outputs multivariate analysis
is used. Strictly speaking multiple linear regression
is a form of multivariate analysis although not
usually referred to as such.
For more information refer to
MiC
Quality Six Sigma Glossary.
