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DOCUMENT DESCRIPTION

Regression is one of the most widely and successfully used data analysis methods. At its core is correlation. Correlation explains how much linear association exists between two variables x and y, while Linear Regression provides a prediction equation describing the relationship between x and y.
The objectives of this module are to: understand the basics of Correlation, measure the strength of and test the statistical significance of correlation between two variables, understand and Perform simple Linear Regression, validate assumptions and understand and use the resulting regression equation.

This material is suitable for independent study or formal classroom training and includes an exercise, list of tools and quiz questions.

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Source: 059_Correlation and Simple Regression PowerPoint document

 

059_Correlation and Simple Regression

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File Type: PowerPoint (pptx)

File Size: 580 KB

Number of Slides: 39 (includes cover, transition slides)

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Initial upload date (first version): Jan 24, 2015

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