Suppose you conduct an experiment that yields a collection of pairs, (x1, y1), (x2, y2), (x3, y3), ... (xn, yn). In other words, yi is the value of variable y when variable x assumes the value xi.
Let us call the average of the xi values x-bar and the average of the yi values y-bar. Then an x-deviation is xi - x-bar and a y-deviation is yi - y-bar. One product of a pair of these deviations is ( xi - x-bar )( yi - y-bar ).
If you now sum these deviations with the i going from 1 to n you will have the 'sum of the product of the deviations'.
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The sum of standard deviations from the mean is the error.
The sum of total deviations about the mean is the total variance. * * * * * No it is not - that is the sum of their SQUARES. The sum of the deviations is always zero.
Zero.
0 (zero).
zero