Briefly, the variance for a variable is a measure of the
dispersion or spread of scores. Covariance indicates how two
variables vary together.
The variance-covariance matrix is a compact way to present data
for your variables. The variance is presented on the diagonal
(where the column and row intersect for the same variable), while
the covariances reside above or below the diagonal.