You can specify whether
to create an output data set that contains the Pearson correlation
statistics. This data set also includes means, standard deviations,
and the number of observations.
You can also choose
to include these statistics in the output data set:
-
Correlations –
By default, the output data set contains the correlation coefficients
with the corresponding _TYPE_ variable value of ‘CORR’.
-
Covariances –
When you select this option, the output data set contains the covariance
matrix with the corresponding _TYPE_ variable value of ‘COV’.
-
Sum of squares and
cross-products – If you assign a column to the Partial
variables role, the output data set does not contain
a sum of squares and cross-products matrix.
-
Corrected sum of squares
and cross-products — If you assign a column to
the Partial variables role, the output data
set contains a partial corrected sum of squares and cross-products
matrix.