1. Import data: store the experimental data in a two-dimensional array according to the order of independent variables and dependent variables, and then import them into Matlab.

2. Drawing scatter plot: Plot function is used to draw the experimental results into scatter plot, so as to observe the data distribution and trend.

3. Modeling: According to the experimental principle and hypothesis, the mathematical model between pinhole diameter and solution concentration is constructed, such as linear model and polynomial model.

4. Fitting data: Fit the data with the polyfit function, find the best fitting curve and model parameters, and output relevant statistical information, such as R squared value, standard deviation, etc.

5. Drawing fitting curve: According to the fitting model and parameters, using the polyval function to generate fitting curve, drawing it on the scatter plot, comparing the fitting effect and analyzing the trend.