Suppose you have a dataset { x } = { ( x ( 1 ) , x ( 2 ) ) } consisting of 2-dimensional vectors. You observe that var ( { x ( 1 ) } ) = 9 and var ( { x ( 2 ) } ) = 4 and also that cov ( { ( x ( 1 ) , x ( 2 ) ) } ) = 6 . What is Covmat ( { x } ) ? Find the eigenvalues of Covmat ( { x } ) . What do the eigenvalues say about the shape of the blob of the dataset { x } ?