SITEMAP ABOUT
MiC Quality

SIX SIGMA GLOSSARY

  PROCESS IMPROVEMENT AND SIX SIGMA
ONLINE COURSES FREE TRIAL SIX SIGMA FAQ BROCHURES LICENSES ENROLL
GLOSSARY
:: Online Courses
:: Free Trial
:: Six Sigma
>> Glossary
>> Calculators
>> Reference Tables
>> Book Reviews
>> Black Belt ASQ
:: FAQ
:: Brochures
:: Licenses
:: Discounts
 
Welcome to MiC Quality Six Sigma Resources
Online Course Instructor
Glen Netherwood
MiC Quality
Online Learning
:: Home ::Six Sigma ::SIX SIGMA GLOSSARY: Regression Analysis :: CURRENT STUDENTS LOGIN

[SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS]

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.

  Enroll Now
[SIX SIGMA GLOSSARY ALPHABETICAL INDEX] [SIX SIGMA GLOSSARY INDEX OF TOPICS] [Top]

MiC Quality Courses
:: Six Sigma Primer
:: Primer in Statistics
:: Advanced Statistics
:: Statistical Process Control SPC
:: Advanced SPC
:: Design of Experiments
:: Advanced DOE
:: Measurement Systems Analysis MSA/ Gage R&R
   
Primer in Statistics
FREE First Module
"Introduction to Statistics"

PDF

Primer in Statistics
FREE Reference Booklet

FREE Excel Primer
   
Learn More



 
Copyright 1998-2014 MiC Quality Legal Notices and Privacy Policy