what makes a pc small what is the distribution of eigenvalues which describes the distribution and what makes sense? what if the first pc is very large if the eigenvalue of the first pc is very large, what does it mean when the range of eigenvalues is large is it possible that the remaining range is small? why are pcs so low which of the following is not a conditional distribution? why do the eigenvalues are low what would the distribution of eigenvalues look like if random data were responsible for them why are eigenvalues low what makes a pc low how do you find the pc of a covariance matrix what makes eigenvalues low what eigenvalues indicate a correlation matrix how big is the average eigenvalue why are all pcs very large what does eigenvalue mean in statistics why are eigen values low why is one eigenvalue large when others are lower bounds