# RSQ

## Definition

Calculates the square of r, the Pearson product-moment correlation coefficient of a dataset.

#### Sample Usage

`RSQ(A2:A100,B2:B100)`

#### Syntax

`RSQ(data_y, data_x)`

`data_y`

- The range representing the array or matrix of dependent data.`data_x`

- The range representing the array or matrix of independent data.

#### Notes

- Any text encountered in the
`value`

arguments will be ignored.

#### See Also

`STEYX`

: Calculates the standard error of the predicted y-value for each x in the regression of a dataset.

`SLOPE`

: Calculates the slope of the line resulting from linear regression of a dataset.

`PEARSON`

: Calculates r, the Pearson product-moment correlation coefficient of a dataset.

`INTERCEPT`

: Calculates the y-value at which the line resulting from linear regression of a dataset will intersect the y-axis (x=0).

`FORECAST`

: Calculates the expected y-value for a specified x based on a linear regression of a dataset.

`COVAR`

: Calculates the covariance of a dataset.

`CORREL`

: Calculates r, the Pearson product-moment correlation coefficient of a dataset.

#### In order to use the RSQ formula, start with your edited Excellentable

#### Then type in the RSQ Formula in area you would like to display the outcome:

#### Type in the complete RSQ formula for a cell as shown below:

#### Excellentable will generate the outcome when hitting enter.