In the Ordination tab you can view a biplot from a principal component analysis (PCA). The PCA transforms the source data into different coordinate systems known as the principal coordinates.  Principle coordinates are ordered in terms of decreasing contribution to the data’s overall variance; this means that trends in the data can typically be observed by looking at only the first few principal coordinates.

The data is represented as scatter points. Each input variable and output response in the biplot is represented by a line. The relative angle and the angle between lines can be interpreted to determine which are correlated. Lines that point in the same direction have strong correlations (positive or negative depending on whether the lines point in the same or opposite directions). The relative length of the lines also indicates a strong correlation.