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Regression Analysis

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. Regression analysis is covered in the MiC Quality course in Advanced Statistics. Try out our courses by taking the first module of the Primer in Statistics free of charge. [SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS] [Top]

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