In mathematical modeling, we often use descriptive statistics and regression analysis.

For example, given the detailed information of stroke patients, it is required to establish a mathematical model to describe the incidence of stroke statistically and study the relationship between the incidence of stroke and relative humidity, temperature and air pressure.

(This title is 20 12 National Mathematical Modeling Competition for College Students)

To get this kind of questions, descriptive statistics and regression analysis are needed. We should use descriptive statistics to describe the results of the affected population, and then use multiple linear regression to establish a mathematical model to fit the relationship between them.

In the past, we often used spss, matlab and other tools to do data analysis, and now we can also use our domestic online data analysis platform spsspro to do it.

On the use of spsspro;

On the platform of spsspro, after importing the data, we can directly select the descriptive statistics we need at the selection algorithm.

The next step is regression analysis. On the platform of spsspro, there is a column directly called statistical modeling in the selection of algorithms. You can choose the corresponding analysis method according to your own needs. To establish a more accurate model, it is necessary to observe the internal relationship between variables with the help of line charts or scatter charts and choose a suitable statistical model.

In the research of statistical problems, it is often necessary to process and analyze a large number of original data. Spsspro has a friendly interface, powerful functions and strong compatibility with the original data format. We might as well try to use this platform for data analysis.