XII.—PARTIAL CORRELATION,
or, transferring the origins to zero,
(1) Earnings X;=+190-1-21 X,+0-23 X,
(2) Pauperism X,=+955-045 X, +022 X,
(3) Out-relief ratio X,= —15-7+ 085 X, +218 X,
The units are throughout one shilling for the earnings Xyil
per cent. for the pauperism X,, and 1 for the out-relief ratio Xj.
The first and second regression-equations are those of most
practical importance. The argument has been advanced that
the giving of out-relief tends to lower earnings, and the total
coefficient (r;= —0'13) between earnings (X;) and out-relief
(X,), though very small (¢f. Chap. IX. § 17), does not seem
inconsistent with such a hypothesis. The partial correlation
coefficient (r3,= +044) and the regression-equation (1), how-
ever, indicate that in unions with a given percentage of the
population in receipt of relief (X,) the earnings are highest where
the proportion of out-relief is highest; and this is, in so far,
against the hypothesis of a tendency to lower wages. It remains
possible, of course, that out-relief may adversely affect the possibil-
ity of earning, e.g. by limiting the employment of the old. As
regards pauperism, the argument might be advanced that the
observed correlation (ry; = +060) between pauperism and out-
relief was in part due to the negative correlation (r;3=-1013)
between earnings and out-relief. Such a hypothesis would have
little to support it in view of the smallness and doubtful signifi-
cance of ry; and is definitely contradicted by the positive partial
correlation 7,,, = + 0°69, and the second regression-equation. The
third regression-equation shows that the proportion of out-relief is
on the whole highest where earnings are highest and pauperism
greatest. It should be noticed, however, that a negative ratio is
clearly impossible, and consequently the relation cannot be strictly
linear; but the third equation gives possible (positive) average
ratios for all the combinations of pauperism and earnings that
actually occur.
Example ii.—(Four variables.) As an illustration of the form
of the work in the case of four variables, we will take a portion
of the data from another investigation into the causation of
pauperism, viz. that described in the first illustration of Chapter X.,
to which the student should refer for details. The variables are
the ratios of the values in 1891 to the values in 1881 (taken as
100) of—
1. The percentage of the population in receipt of relief,
2. The ratio of the numbers given outdoor relief to the numbers
relieved in the workhouse,
3. The percentage of the population over 65 years of age,
qr
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