The STEYX function returns the standard error of the predicted y-value for each x in the regression. The standard error is a measure of the amount of error in the prediction of y for an individual x.

**Syntax**:= STEYX(known_y’s, known_x’s)

The STEYX function syntax has the following arguments:

**Known_y’s**Required. An array or range of dependent data points.-
**Known_x’s**Required. An array or range of independent data points.

**Example**: Let’s look at some Excel STEYX function examples and explore how to use the STEYX function as a worksheet function in Microsoft Excel:

**Syntax**: =STEYX(A2:A21,B2:B21)

**Result**: 7.469728521

**Note**:

- Arguments can either be numbers or names, arrays, or references that contain numbers.
- Logical values and text representations of numbers that you type directly into the list of arguments are counted.
- If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.
- Arguments that are error values or text that cannot be translated into numbers cause errors.
- If known_y’s and known_x’s have a different number of data points, STEYX returns the #N/A error value.
- If known_y’s and known_x’s are empty or have less than three data points, STEYX returns the #DIV/0! error value.
- The equation for the standard error of the predicted y is:

where x and y are the sample means AVERAGE(known_x’s) and AVERAGE(known_y’s), and n is the sample size.