Exercise Solution 3.17
- W has a singular covariance matrix because its components are linearly related.
- V has a non-singular covariance matrix. Although its components are related, that relationship in not linear.
- X has a non-singular covariance matrix because its components are not linearly related.
- Y has a singular covariance matrix because its components are linearly related.