MiC Quality UPDATE OCTOBER 2011 Click here for the Web version of the current issue
 Glen Netherwood MiC Quality

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In Focus: REGRESSION ANALYSIS

In this issue:

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:: Specials

We are offering double access time - 8 weeks instead of 4 - if you enroll before midnight of November 15, 2011 and use DA02 Promotional Code

 :: Special: 8 WEEKS OF ACCESS INSTEAD OF 4 For ALL Enrollments QUOTE Promotional Code DA02 ENROLL NOW This Special expires at midnight November 15, 2011

:: 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.

For more information refer to MiC Quality Six Sigma Glossary.

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 :: Next Update The next update will be in April 2012.
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