# How to use RSQ Function in Excel

The RSQ function returns the square of the Pearson product moment correlation coefficient through data points in known_y’s and known_x’s.

Syntax:= RSQ(known_y’s,known_x’s)

The RSQ function syntax has the following arguments:

• Known_y’s    Required. An array or range of data points.
• Known_x’s    Required. An array or range of data points.

Example: Let’s look at some Excel RSQ function examples and explore how to use the RSQ function as a worksheet function in Microsoft Excel: The column X and Y contains the two array values.  R square of these values can be calculated using formula

Syntax:  =RSQ(A2:A21,B2:B21)

Result: 0.62242737 Based on the Excel spreadsheet above, the following RSQ examples would return:

Syntax:

Syntax:
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Syntax:
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Syntax:
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Syntax:
Result:

Note:

• Arguments can either be numbers or names, arrays, or references that contain numbers.
• Logical values and text representations of numbers that you type directly into the list of arguments are counted.
• If an array or reference argument contains text, logical values, or empty cells, those values are ignored; however, cells with the value zero are included.
• Arguments that are error values or text that cannot be translated into numbers cause errors.
• If known_y’s and known_x’s are empty or have a different number of data points, RSQ returns the #N/A error value.
• If known_y’s and known_x’s contain only 1 data point, RSQ returns the #DIV/0! error value.
• The equation for the Pearson product moment correlation coefficient, r, is: where x and y are the sample means AVERAGE(known_x’s) and AVERAGE(known_y’s).

RSQ returns r2, which is the square of this correlation coefficient.

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