Calculates the expected y-value for a specified x based on a linear regression of a dataset.
Sample Usage
FORECAST(A1,A2:A100,B2:B100)
Syntax
FORECAST(x, data_y, data_x)
x
- The value on the x-axis to forecast.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.
RSQ: Calculates the square of r, the Pearson product-moment correlation coefficient 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).
COVAR: Calculates the covariance of a dataset.
CORREL: Calculates r, the Pearson product-moment correlation coefficient of a dataset.