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.
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