In this version of the program a series of points is estimated as timeinvariant flow of points (X, Y). Time (sequence number, parameter Z), X, Y sizes of a point are unused.

The equation for the correlation coefficient is:
Where r(X,Y), the correlation coefficient (Pearson correlation coefficient), ranging from 1 to 1, calculated on all points you selected. Use the correlation coefficient to determine the relationship between two properties.
Confidence Ellipse illustrates a probability distribution on different directions. Its "Volume" is proportional to the square root of a generalized dispersion.
Interfacing factor:
f2(X,Y,N) = sum( i, j )(Nij*Nij/Ni/Nj)  1
The interfacing factor f2 of two random variables is based on a contingency table. f2 measures relation between X and Y. f2 reaches max when each line or each member contains only one member which is distinct from 0.
See example.