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Lecture17 - Lecture 17 Correlation Analysis Simultaneous...

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Lecture 17: Correlation Analysis Æ Simultaneous analysis of 2 variables Sources of Information Motulsky: Chapter 17 Triola et al.: Chapter 9 Sokal & Rohlf: Chapter 15 Dytham: p. 154-171
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Correlation versus Regression Correlation tells us whether there is a relationship between 2 variables and how strong the relationship is between them. Î tells us how well the response variable (Y) is predicted from the predictor variable (X)
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Correlation versus Regression Regression tells us how to predict Y from X Î provides the equation to predict Y from X
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Introducing Correlation Analysis In correlation analysis, we generally want to determine whether two variables are interdependent, or covary – that is, do they vary together? Definition : A correlation exists between two variables when one of them is related to the other in some way. In common usage, the word ‘correlation’ describes any type of relationship between objects and events. In statistical usage, correlation refers to a quantitative relationship between two variables measured on ordinal or continuous scales. When we wish to establish the degree of association between pairs of variables in a sample from a population, correlation analysis is the proper approach.
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