Table of Contents
This guide provides a practical overview of RSQ - the Function Returns the Square of the Pearson Torque Correlation, including its main features, benefits, limitations, and important considerations.

Description: The function returns the square of the Pearson moment correlation coefficient through data points in known_y's and known_x's.
Syntax: RSQ (known_y's, known_x's)
Inside:
- known_y's : Array or data range, is a required parameter.
- known_x's: Array or range of data points, required.
Attention:
- The value of the argument must be a number, name, array or reference containing numbers.
- Logical values and text number representations when typing directly into the argument list -> still count.
- Arguments that are text or error values cannot be converted to a numeric type -> cause the function to cause an error .
- If the argument is a reference array containing text values or logic -> these values are ignored, but the value 0 is still counted.
- If known_y's and known_x's are empty or have a different number of data points -> the function returns the # N / A error value .
- If known_y's and known_x's contain only 1 data point -> the function returns the # DIV / 0 error value .
- The equation for the Pearson product moment correlation coefficient, r, is:
[r = frac {{sum {left ({x - overline x} right) left ({y - overline y} right)}}} {{sqrt {sum {{{left ({x - overline x} right)} ^ 2} sum {{{left ({y - overline y} right)} ^ 2}}}}}}]
Where x and y are the sample mean AVERAGE (known_x's) and AVERAGE (known_y's).
For example:
Calculate the square of the Pearson product moment correlation coefficient of values in the following data table:

- In the cell to calculate enter the formula : = RSQ (C6: C10, D6: D10)

- Press Enter -> squared the Pearson product moment square coefficient is:

- Where the number of elements of the array x and y is not equal -> the function returns the error value # N / A

- In case of 2 arrays of x and y, there is only 1 element -> the function returns the # DIV / 0 error value .

Above are instructions and some specific examples when using the RSQ function in Excel.
Good luck!
FAQ
What should I know about RSQ - the Function Returns the Square of the Pearson Torque Correlation?
Focus on the key features, requirements, limitations, and practical use cases explained in this guide.
How do I get the best results with RSQ - the Function Returns the Square of the Pearson Torque Correlation?
Follow the recommended steps, use current software or information, confirm compatibility, and review settings before major changes.
Are there any risks or limitations?
Potential limitations depend on compatibility, data quality, cost, privacy, support, and how the product or method is used.
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