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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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.