correlation, regression, statistical analysis, artificial intelligence, PAST software, Microsoft Excel, educational research

In educational research and other scientific disciplines, we often encounter the need to analyze relationships between different variables. For this purpose, statistical methods such as correlation analysis and regression analysis are used. Correlation helps determine whether there is a relationship between two variables and how strong that relationship is. Regression, on the other hand, is used to predict the value of one variable based on the value of another variable. In this article, we will focus on demonstrating these methods using a specific example, analyzing the relationship between students' scores in a pre-test and a post-test. The analysis will be conducted using PAST and Microsoft Excel, which are commonly available tools for statistical data processing. The obtained results will then be compared with predictions generated by artificial intelligence, allowing us to evaluate the accuracy and advantages of traditional statistical methods compared to modern machine learning approaches.