Formula Generator - STEYX function
The STEYX function calculates the standard error of the predicted y-value for each x in the regression of a dataset. It is used to measure the accuracy of the regression model by determining how closely the predicted y-values match the actual y-values. The function takes two arguments: data_y, which represents the dependent variable values, and data_x, which represents the independent variable values. The function returns the standard error of the predicted y-values.How to generate an STEYX formula using AI.
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STEYX formula syntax.
The STEYX function in Excel calculates the standard error of the predicted y-values for a given set of x-values in a linear regression model. The syntax for the STEYX function is: STEYX(known_y's, known_x's) - known_y's: This is the array or range of dependent y-values in the dataset. - known_x's: This is the array or range of independent x-values in the dataset. The STEYX function returns the standard error of the predicted y-values based on the linear regression model. It is useful for analyzing the accuracy of the regression model and understanding the variability of the predicted y-values around the regression line.
Predicting Sales
Calculates the standard error of the predicted sales for each month in the regression of a dataset.
STEYX(sales, month)
Estimating Project Costs
Calculates the standard error of the estimated project costs for each task in the regression of a dataset.
STEYX(costs, task)
Forecasting Stock Prices
Calculates the standard error of the predicted stock prices for each day in the regression of a dataset.