The estimation of adjustment value and average error is related to the average error of unit weight. In surveying and adjustment, adjustment is the best estimate obtained by mathematical processing of observed data. The average error is a statistical index to describe the measurement results, indicating the deviation degree of each observed value from the average value. The mean error of unit weight refers to the product of mean error of each observation and unit weight.

In the process of adjustment, the accuracy of adjustment can be improved by weighting the observed data. The error of unit weight reflects the relative reliability of observation, and the higher the weight, the more reliable the observation. By weighting the observed data, the adjustment result can be more accurate and reliable.

Therefore, the estimation of adjustment values sum average error is closely related to the average error of unit weight, and the estimation of adjustment values sum average error can be influenced by weighting the observation data.