This display was created by
entering the variable X, and by storing the values of its mean and
standard deviation in the scalar
memory cells 1 and 2.
The mean of the variable X was dragged
into the input box for the subtraction of a constant, and subtracted
from the variable X
to obtain the deviation scores x.
The standard deviation of the variable X
was dragged into the input box for the division by a constant, and
values of the
deviation scores x were divided by this constant to obtain the standard
scores Zx.
The vector display was edited to enter the variable Y and the process described above was repeated.
The variables Zx and Zy were multiplied; the mean of this product (.897) is the coefficient of correlation between variables X and Y.
The variables X and Y were correlated
directly, using a procedure for computation of the Pearson product
moment coefficient
of correlation. Results of this correlational analysis of variables X
and Y are shown on the right hand side of the display.
