Regression Analysis Model Based on Data Processing and MATLAB Numerical Simulation

Regression analysis is a method to analyze the relationship between a dependent variable and an independent variable. Which is one of the most powerful tools for statistical data analysis. Through mining 14 groups of experimental data, this paper tries to use this method to build the model and calculate the model parameters. Then the significance test is carried out on the analysis results by MATLAB numerical simulation, so as to obtain the regression equation of ethanol conversion rate and C4 olefins selectivity with temperature under each experiment, and obtain good fitting results. Firstly, line graph of ethanol conversion and C4 olefins selectivity with temperature are drawn by MATLAB for each catalyst combination. Then, all catalyst combinations are divided into two situations: when the linear relationship is obvious, a linear regression model is established. When the linear relationship is not obvious, it’s necessary to fit the curve, and found that a quadratic curve model can be established after fitting.