Advanced Excel Steyx Formula
The Excel STEYX function finds the standard error of the predicted y-value for each x in the regression.
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The
standard error is a measure of the amount of error in the prediction of y for
an individual x. The STEYX (known_y's, known_x's) function returns the standard
error of Y given X for a least-squares linear regression line that is used to
predict y values from x values. If you call the two data arrays X's and Y's, earlier
versions of Excel used a single pass through the data to compute the sum of
squares of X's, the sum of squares of Y's, the sum of X's, the sum of Y's, the
sum of XY's, and the count of the number of observations in each array. These
quantities were then combined into the computational formula that is provided
in the Help file in earlier versions of Excel. Replacing a one-tailed approach
by a two-tailed approach guarantees better numeric performance of STEYX in
Excel 2003 and in later versions of Excel. The results in Excel 2003 and in
later versions of Excel will never be less accurate than the results in earlier
versions.
Examples of Steyx Formula
Known_y's
|
Known_x's
|
|
5
|
7
|
1.961823794
|
8
|
6
|
|
1
|
2
|
|
3
|
1
|
|
6
|
4
|
|
7
|
4
|
|
4
|
2
|
|
2
|
1
|
|
1
|
3
|
|
9
|
7
|
Syntax of Steyx Formula
=STEYX(KNOWN_Y'S, KNOWN_X'S)
steyx formula |
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