A particular dataset includes 50 variables. It was also noted that in the 50x50correlation matrix, the off-diagonal elements are within a range of [-0.03, +0.025]. If PCA is appliedto this dataset,...

A particular dataset includes 50 variables. It was also noted that in the 50x50correlation matrix, the off-diagonal elements are within a range of [-0.03, +0.025]. If PCA is appliedto this dataset, what will the eigenvalues be (approximately)? How many principal components willbe sufficient to explain 80% variability (approximately)?