Click here to view and discuss this page in DocCommentXchange. In the future, you will be sent there automatically.
Returns the sum of products of the dependent and independent variables. The REGR_SXY function can be used to evaluate the statistical validity of a regression model.
REGR_SXY( dependent-expression , independent-expression )
REGR_SXY( dependent-expression , independent-expression ) OVER ( window-spec )
window-spec : see Syntax 2 instructions in the Remarks section below
dependent-expression The variable that is affected by the independent variable.
independent-expression The variable that influences the outcome.
This function converts its arguments to DOUBLE, performs the computation in double-precision floating point, and returns a DOUBLE as the result. If the function is applied to an empty set, then it returns NULL.
The function is applied to the set of (dependent-expression and independent-expression) pairs after eliminating all pairs for which either dependent-expression or independent-expression is NULL. The function is computed simultaneously during a single pass through the data. After eliminating NULL values, the following computation is then made, where x represents the dependent-expression and y represents the independent-expression:
REGR_COUNT( x, y ) * COVAR_POP( x, y )
For more information about the statistical computation performed, see Mathematical formulas for the aggregate functions.
Syntax 2 represents usage as a window function in a SELECT statement. As such, elements of window-spec can be specified either in the function syntax (inline), or in conjunction with a WINDOW clause in the SELECT statement. See the window-spec definition provided in WINDOW clause.
For more information about using window functions in SELECT statements, including working examples, see Window functions.
SQL/2003 SQL foundation feature (T621) outside of core SQL.
The following example returns the value 5533938.004400015.
SELECT REGR_SXY( Salary, ( YEAR( NOW() ) - YEAR( BirthDate ) ) ) FROM Employees;
|Send feedback about this page via email or DocCommentXchange||Copyright © 2008, iAnywhere Solutions, Inc. - SQL Anywhere 11.0.0|