Conduct and Interpret a Canonical Correlation

What is Canonical Correlation analysis? The Canonical Correlation is a multivariate analysis of correlation.  Canonical is the statistical term for analyzing latent variables (which are not directly observed) that represent multiple variables (which are directly observed).  The term can also be found in canonical regression analysis and in multivariate discriminant analysis. Canonical Correlation analysis is

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Conduct and Interpret a Partial Correlation

What is Partial Correlation? Spurious correlations have a ubiquitous effect in statistics.  Spurious correlations occur when two effects have clearly no causal relationship whatsoever in real life but can be statistically linked by correlation. A classic example of a spurious correlation is as follows: Do storks bring babies? Pearson’s Bivariate Correlation Coefficient shows a positive

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Correlation Ratio

Correlation ratio is a coefficient of non-linear association.  In the case of linear relationships, the correlation ratio that is denoted by eta becomes the correlation coefficient.  In the case of non-linear relationships, the value of the correlation ratio is greater, and therefore the difference between the correlation ratio and the correlation coefficient refers to the

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