Enter a numeric column of weights to perform weighted regression. Weighted regression is a method that can be used when the least squares assumption of constant variance in the residuals is violated (also called heteroskedasticity). With the correct weight, this procedure minimizes the sum of weighted squared residuals to produce residuals with a constant variance (also called homoskedasticity). For more information about determining the appropriate weight, go to Weighted regression.
The weights must be greater than or equal to zero. The weights column must have the same number of rows as the response column.