# RSQ

Returns the square of the Pearson product moment correlation coefficient through data points in known_y's and known_x's. For more information, see PEARSON. The r-squared value can be interpreted as the proportion of the variance in y attributable to the variance in x.

**Syntax**

**RSQ**(**known_y's**,**known_x's**)

**Known_y's** is an array or range of data points.

**Known_x's** is an array or range of data points.

**Remarks**

- The arguments must be either numbers or names, arrays, or references that contain numbers.
- 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.
- 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.
- The equation for the r value of the regression line is:

**Example**

`RSQ({2,3,9,1,8,7,5},{6,5,11,7,5,4,4})`

equals 0.05795