Calculates the standard error of the predicted y-value for each x in the regression of a dataset. Learn more
In Google Sheets, the STEYX function calculates the standard error of the predicted y-value for each x in a regression.
It is commonly used in statistical analysis to evaluate the accuracy of the regression model.
The STEYX function requires two sets of data: datay and datax. datay represents the dependent variable or the values you are trying to predict, while datax represents the independent variable
or the values used to make the prediction.
The syntax for the STEYX function is as follows:
STEXY(datay, datax)
Here's a breakdown of the parameters:
data_y: The range of cells or array containing the dependent variable values.
data_x: The range of cells or array containing the independent variable values.
The function returns the standard error of the predicted y-value for each x in the regression. Essentially, it measures how far off the predicted values are from the actual values based on the regression model.