Calculates the y-value at which the line resulting from linear regression of a data set will intersect the y-axis (x=0).
Sample usage
INTERCEPT(A2:A100,B2:B100)
Syntax
INTERCEPT(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 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.
FORECAST
: Calculates the expected y-value for a specified x based on a linear regression of a data set.
COVAR
: Calculates the covariance of a data set.
CORREL
: Calculates r, the Pearson product-moment correlation coefficient of a data set.