STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel

STEYX function: The function returns the standard error of the predicted value of y for each value of x in the regression. Syntax: STEYX (known_ys, known_xs)

The following article introduces you to the STEYX function - one of the functions in the statistical function group is very popular in Excel.

STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 1STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 1

Description: The function returns the standard error of the predicted value of y for each value of x in the regression.

Syntax: STEYX (known_y's, known_x's)

Inside:

- known_y's: Array or range of dependent data points, is a required parameter.

- known_x's: An independent data point or range, which is a required parameter.

Attention:

- Arguments can be numbers, names or arrays that contain numbers.

- When typing logical values ​​and presenting text numbers into function arguments -> these values ​​are still counted, but cells with 0 value will still be counted.

- Function error occurs when arguments are text or error values ​​cannot be converted.

- If known_y's and known_x's have a different number of data points -> the function returns the # N / A error value .

- If known_y's and known_x's are empty or have fewer than three data points -> the function returns the # DIV / 0 error value .

- The equation for standard errors is:

[sqrt {frac {1} {{left ({n - 2} right)}} left [{sum {{{left ({y - overline y} right)} ^ 2} - {{frac {{left [{ sum {left ({x - overline x} right) left ({y - overline y} right)}} right]}} {{sum {{{left ({x - overline x} right)} ^ 2}}} }} ^ 2}}} right]}]

Inside:

+ x is the sample mean AVERAGE (number1, number2, .)

+ n is the sample size.

For example:

Calculate the standard error of the predicted value of y for each value of x in the regression of the values ​​in the following data table:

STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 2STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 2

- In the cell to calculate enter the formula : = STEYX (C6: C12, D6: D12)

STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 3STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 3

- Press Enter -> the standard error of the predicted y value for each value of x in the regression is:

STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 4STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 4

- If the number of data points of know_y's and know_x's are different -> the function returns the # N / A error value .

STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 5STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 5

- If the number of data points of know_y's and know_x's is smaller than 3 data points -> the function returns the # DIV / 0 error value .

STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 6STEYX function - The function returns the standard error of the predicted value of y for each value of x in regression in Excel Picture 6

Above are instructions and some specific examples when using the STEYX function in Excel.

Good luck!

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