| Oracle® Database SQL Reference 10g Release 2 (10.2) Part Number B14200-02 | 
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Syntax

Purpose
CORR returns the coefficient of correlation of a set of number pairs. You can use it as an aggregate or analytic function.
This function takes as arguments any numeric datatype or any nonnumeric datatype that can be implicitly converted to a numeric datatype. Oracle determines the argument with the highest numeric precedence, implicitly converts the remaining arguments to that datatype, and returns that datatype.
| See Also:Table 2-10, "Implicit Type Conversion Matrix" for more information on implicit conversion and "Numeric Precedence" for information on numeric precedence | 
Oracle Database applies the function to the set of (expr1, expr2) after eliminating the pairs for which either expr1 or expr2 is null. Then Oracle makes the following computation:
COVAR_POP(expr1, expr2) / (STDDEV_POP(expr1) * STDDEV_POP(expr2))
The function returns a value of type NUMBER. If the function is applied to an empty set, then it returns null.
| Note:The CORRfunction calculates the Pearson's correlation coefficient, which requires numeric expressions as arguments. Oracle also provides theCORR_S(Spearman's rho coefficient) andCORR_K(Kendall's tau-b coefficient) to support nonparametric or rank correlation. | 
| See Also:"Aggregate Functions", "About SQL Expressions" for information on valid forms of expr, and CORR_* and CORR_S | 
Aggregate Example
The following example calculates the coefficient of correlation between the list prices and minimum prices of products by weight class in the sample table oe.product_information:
SELECT weight_class, CORR(list_price, min_price)
   FROM product_information
   GROUP BY weight_class;
WEIGHT_CLASS CORR(LIST_PRICE,MIN_PRICE)
------------ --------------------------
           1                  .99914795
           2                 .999022941
           3                 .998484472
           4                 .999359909
           5                 .999536087
Analytic Example
The following example shows the correlation between duration at the company and salary by the employee's position. The result set shows the same correlation for each employee in a given job:
SELECT employee_id, job_id, 
   TO_CHAR((SYSDATE - hire_date) YEAR TO MONTH ) "Yrs-Mns",     salary, 
   CORR(SYSDATE-hire_date, salary)
   OVER(PARTITION BY job_id) AS "Correlation"
FROM employees
WHERE department_id in (50, 80)
ORDER BY job_id, employee_id;
EMPLOYEE_ID JOB_ID     Yrs-Mns     SALARY Correlation
----------- ---------- ------- ---------- -----------
        145 SA_MAN     +08-07       14000  .912385598
        146 SA_MAN     +08-04       13500  .912385598
        147 SA_MAN     +08-02       12000  .912385598
        148 SA_MAN     +05-07       11000  .912385598
        149 SA_MAN     +05-03       10500  .912385598
        150 SA_REP     +08-03       10000   .80436755
        151 SA_REP     +08-02        9500   .80436755
        152 SA_REP     +07-09        9000   .80436755
        153 SA_REP     +07-01        8000   .80436755
        154 SA_REP     +06-05        7500   .80436755
        155 SA_REP     +05-06        7000   .80436755
...