The second table is the Factor Score Covariance Matrix: Factor Score Covariance Matrix Factor Score Covariance Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 5 rows Factor 1 2 1 1.
The test provides probability that the correlation matrix has significant correlations among at least some of the variables in a dataset, a prerequisite for factor analysis to work.
Factor rotation comes after the factors are extracted, with the goal of achieving simple structure in order to improve interpretability.
Equamax is a hybrid of Varimax and Quartimax, but because of this may behave erratically and according to Pett et al.
Additionally, Anderson-Rubin scores are biased.
This can be confirmed by the Scree Plot which plots the eigenvalue total variance explained by the component number.