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.
Known_y's is an array or range of dependent data points.
Known_x's is an array or range of independent data points.
- 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.
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||Standard error of the predicted y-value for each x in the regression (3.305719)