Calculates r, the Pearson product-moment correlation coefficient of a data set.
Sample usage
CORREL(A2:A100,B2:B100)
Syntax
CORREL(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
valuearguments will be ignored. -
CORRELis synonymous with PEARSON.
See also
STEYX: Calculates the standard error of the predicted y-value for each x in the regression of a data set.
SLOPE: Calculates the slope of the line resulting from linear regression of a data set.
RSQ: Calculates the square of r, the Pearson product-moment correlation coefficient of a data set.
PEARSON: Calculates r, the Pearson product-moment correlation coefficient of a data set.
INTERCEPT: Calculates the y-value at which the line resulting from linear regression of a data set will intersect the y-axis (x=0).
FORECAST: Calculates the expected y-value for a specified x based on a linear regression of a data set.
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 data set.