Agricultural pricesWallace, Henry A. (Henry Agard)
Science
Agricultural prices
Wallace, Henry A. (Henry Agard)
Agriculture -- Statistics; Farm produce; Prices
═════════╤═════════╤═════════╤═════════╤═════════╤═════════
1 │ 2 │ 3 │ 4 │ 5 │ 6
─────────┼─────────┼─────────┼─────────┼─────────┼─────────
│ A │ B │A squared│B squared│A times B
─────────┼─────────┼─────────┼─────────┼─────────┼─────────
1901 │ −3│ −5│ 9│ 25│ +15
1902 │ −1│ +1│ 1│ 1│ −1
1903 │ +2│ +3│ 4│ 9│ +6
1904 │ +2│ +1│ 4│ 1│ +2
Sum │ │ │ 18│ 36│ +22
─────────┴─────────┴─────────┴─────────┴─────────┴─────────
The standard deviation of A is the square root of the sum of the A
squares, or 18, divided by 4. The square root of 18 divided by 4 is 2.1.
Standard deviation of B, in like manner, is 3. The sum of AB divided by
4, or +22 divided by 4, equals +5.5. The correlation coefficient is +5.5
divided by the standard deviation of A multiplied by the standard
deviation of B, or 5.5 divided by 6.3, which gives +.87. A correlation
coefficient of .87 is very high, perfect correlation being 1.
Correlation over .5 is considered fairly good, especially if there is a
long list (fifty or more) of figures in each series.
The formula for determining A in terms of B is:
A equals r((σ_{a})/(σ_{b}))B
In this formula, r is the correlation coefficient and σa is the standard
deviation of A, and σb is the standard deviation of B. Substituting for
the specific problem, we get:
A equals .87((2.1)/(3.0))B or
A equals .609 B
When B is −5 we would expect A to be 3.05; when B is +1 we would expect
A to be +.609; when B is +3, we would expect A to be 1.827.
Suppose now, in addition, that there are three series: A, B and C, and
that the object is to determine A in terms of B and C. The three series
stand:
════╤════════════╤════════════╤════════════
│ A │ B │ C
────┼────────────┼────────────┼────────────
1901│ −3│ −5│ +2
1902│ −1│ +1│ +3
1903│ +2│ +3│ −3
1904│ +2│ +1│ −2
────┴────────────┴────────────┴────────────
We already know that the standard deviation of A is 2.1, and of B is
3.0, and that the correlation coefficient between A and B is +.87. Using
the customary method, we find that the standard deviation of C is 2.55
and that the correlation coefficient of A and C is −.89, and of B and C
−.59. To find A in terms of B and C, we use the following formula:
A equals ((r_{ab} − r_{ac}r_{bc})/(1 − r^2_{bc}))((σ_{a})/(σ_{b}))B
+ ((r_{ac} − r_{ab}r_{bc})/(1 − r^2_{bc}))((σ_{a})/(σ_{c}))C
Public-domain text, read in full here on John Shaqi.
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