Step 2: a) Compute covariance matrix of data among all variables after step1. ( this should be a 10-by-10 matrix) Note: Python Each row of data array represents a variable (5 points),

b) compute the total variance of data = sum of diagonal elements of covariance matrix (5 points),

c) compute correlation (Pearsons correlation) between variable 1 and variable 2 (5 points),