STEYX

The STEYX function in Google Sheets 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 prediction made by a regression line. Learn how to use this function effectively with our comprehensive guide.

Function Syntax and Parameters

Syntax: STEYX(data_y, data_x)

Parameters:

• data_y: The array or range containing the dependent data points.
• data_x: The array or range containing the independent data points.

Step-by-Step Tutorial

1. Using STEYX with arrays:

   • Example: =STEYX({1, 2, 3}, {4, 5, 6})
   • Result: The standard error value

2. Using STEYX with cell ranges:

   • Example: If A1:A5 contains the dependent data points and B1:B5 the independent data points, then =STEYX(A1:A5, B1:B5) will return the standard error value.

Use Cases and Scenarios

1. Financial Analysis: Calculate the standard error of stock returns based on market returns.
2. Marketing Research: Measure the accuracy of predicted sales based on advertising expenditure.
3. Scientific Experiments: Determine the standard error of predicted results from controlled tests.

Related Functions

• SLOPE: Calculate the slope of the regression line.
• CORREL: Find the correlation coefficient between two datasets.

Related Articles

• A Complete Guide to Regression Analysis in Google Sheets
• Understanding and Interpreting R-Squared in Regression Analysis