PEARSON

Definition of PEARSON

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

Sample Usage

PEARSON(A2:A100,B2:B100)

Syntax

PEARSON(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.

• PEARSON is synonymous with CORREL.

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.

RSQ: Calculates the square of 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.

FISHERINV: Returns the inverse Fisher transformation of a specified value.

FISHER: Returns the Fisher transformation of a specified value.

COVAR: Calculates the covariance of a dataset.

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

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

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

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

Excellentable will generate the outcome when hitting enter. 

	A	B	C
1	State	Independent values	Dependent values
2	Alabama	9	10
3	Alaska	7	6
4	Arizona	5	1
5	Arkansas	3	5
6	California	1	3
7	Colorado	6	2
8	Connecticut	2	9
9	Delaware	8	7
10	Florida	7	8
11	Georgia	5	4
12	Hawaii	4	3
13	Idaho	3	6
14
15		0.699378606