The Least-squares Function
It weights each observation by its variance.
- Observations with low confidence are less important.
- Observations with high confidence are more important.
The final parameters have the smallest variance of those produced by any other residual function.
The equation assumes the errors in the observations are “normally” distributed, and model is complete.