MiC Quality MiC Quality UPDATE
OCTOBER 2011 
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Online Course Instructor
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

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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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Book Reviews

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:: Next Update

The next update will be in April 2012.

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