The difference-by-difference method is a commonly used data processing method to improve the utilization of experimental data, reduce the impact of random errors, and also reduce the instrumental error component of the experiment.
The difference-by-difference method is aimed at the independent variable changes in the same amount, the dependent variable also do the same amount of changes in the measured data in the same interval after subtracting its difference-by-difference average of the results.
The advantage is that it makes full use of the measurement data, with the effect of averaging the data, can be found in a timely manner or the distribution of data, timely correction or timely summary of the data law. It is also a commonly used method of processing data in physics experiments.
Extended information:
Difference-by-difference method (rolling over and dividing by the same method, and the more phase subtractive technique) to find the greatest common denominator The difference between two positive integers is the greatest common divisor of the two numbers: the larger of the two is subtracted from the smaller, and the difference is replaced by the larger, and the steps are repeated until the two remaining values are equal.
To find the fitted equation more precisely, you can use linear regression.
The difference-by-difference method is suitable for manual calculation, and linear regression is usually done with the help of excel or statistical software.
Baidu Encyclopedia - Difference-by-Difference Method