Differences Between Pearson'S Correlation And PCA Biplots?

11 November 2019 1 6K Report

I have a scaled PCA biplot of the first two PCs of a data set with 43 observations and 5 variables.

The biplot indicates certain relationships between variables, based on the angles between the vectors. Some variables are positively correlated, others are negatively or not correlated at all. Why then, if I calculate and plot a Pearson's correlation between two columns in my data set, would the relationship be different from what's indicated on the biplot? (i.e. Pearson indicates a strong and significant positive correlation, but biplot shows vectors with an angle less than 90 degrees?)

Note that all my variable are highly positively correlated.

Avinash Vs

hi,

in PCA, longer the line and closest to positive is the Principal component, but Pearson's Correlation indicates the significance between the parameters. they are different so you can proceed with both PCA and PC

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