We have run PCA over a dataset with a large number of variables and generated the % Variance ~ Principal Component diagram as below.

Which of the following statement regarding the PCA outcome is correct? Check all that apply.

[]All of the ten principal components are uncorrelated with each other pair-wise

[]To explain more than 50% variation in the data, at least three principal components are required

[]Compared with using the original variables in the data, using PCA makes the exploratory data analysis easier

[]The amount of variance covered by the principal components in the order of PC1, PC2, , PC10 may not always decrease, e.g. PC10 may cover greater variance in the data than PC9