Full text: An Introduction to the theory of statistics

IX.—CORRELATION. 
RR and CC given by the regression equations (a) and (3). In 
doing this it is as well to determine a point at each end of both 
lines, and then to check the work by seeing that they meet in the 
mean of the whole distribution. Thus RR is determined from (a) 
by the points ¥Y=0, X=19-13 and Y=6, X=1391: CC is 
determined from (%) by the points X=12, ¥=564 and X=21, 
¥ =114. Marking in these points, and drawing the lines, they 
will be found to meet in the mean, X=15'94, Y=367. The 
diagram gives a very clear idea of the distribution ; clearly the 
regression is as nearly linear as may be with so very scattered a 
distribution, and there are no very exceptional observations. The 
most exceptional districts are Brixworth and St Neots with rather 
low earnings but very low pauperism, and Glendale and Wigton 
with the highest earnings but a pauperism well above the lowest— 
over 2 per cent. 
16. When a classified correlation-table is to be dealt with, the 
procedure is of precisely the same kind as was used in the calcula- 
tion of a standard deviation, the same artifices being used to shorten 
the work. That is to say, (1) the product-sum is calculated in the 
first instance with respect to an arbitrary origin, and is afterwards 
reduced to the value it would have with respect to the mean; (2 
the arbitrary origin is taken at the centre of a class-interval ; (3 
the class-interval is treated as the unit of measurement throughout 
the arithmetic. 
Let deviations from the arbitrary origin be denoted by £7, and 
let £7 be the co-ordinates of the mean. Then 
¢=z +E g=y+7 
- En=xy+ Ey +e + Gi. 
Therefore, summing, since the second and third sums on the 
right vanish, being the sums of deviations from the mean, 
(én) = Z(xy) + NE7, 
or bringing 2(zy) to the left, 
(wy) = 3(&) - Ne3. 
That is, in terms of mean-products, using »’ to denote the mean- 
product for the arbitrary origin, 
r=p -5&. 
In any case where the origin from which deviations have been 
measured is not the mean, this correction must be used. It will 
sometimes give a sensible correction even for work in the form of 
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