Updated: 9 August 2010

Use STEYX_q to return the standard error of the predicted y-value for each x-value in the regression. The equation for STEYX_q is:

SELECT [wctStatistics].[wct].[STEYX_q] (

<@Known_y_Known_x_RangeQuery, nvarchar(4000),>)

the select statement, as text, used to determine the y- and x-values to be used in the STEYX_q function.

float

· STEYX_q assumes that its arguments are the entire population. If your data represent a sample of the population, then compute the standard deviation using STDEV_q.

· For large samples sizes, STDEV_q and STEYX_q return approximately equal values.

· No GROUP BY is required for this function even though it produces aggregated results.

select wct.STEYX_q('Select a.grade, b.grade

from #s1 a, #s1 b

where a.subject = ' + Char(39) + 'Math' + Char(39) + ' and

b.subject = ' + Char(39) + 'Science' + Char(39) + 'and

a.student = b.student')

This produces the following result

----------------------

0.00426728110387755

(1 row(s) affected)

SELECT wct.STEYX_q('SELECT math, science from #s2')

This produces the following result

----------------------

0.00426728110387755

(1 row(s) affected)