Statistical modeling is a research area that involves the use of mathematical equations and statistical methods to analyze and interpret data. This approach allows researchers to make predictions, explore relationships between variables, and test hypotheses by using data samples. Statistical modeling can be applied to a wide range of fields, including economics, social sciences, biology, and engineering. The purpose of statistical modeling is to gain a better understanding of complex systems, make informed decisions, and draw meaningful conclusions from data. Common tools used in statistical modeling include regression analysis, time series analysis, and Bayesian inference.