To understand and show relationships between variables in data, Statistical Analysis is the most suitable approach.
Statistical techniques like correlation analysis, regression, chi-square tests, and ANOVA are commonly used to identify and measure relationships.
These methods help uncover patterns such as how one variable affects another or how multiple factors interact.
Predictive and classification approaches focus more on predicting outcomes or categorizing data rather than directly showing relationships.
Descriptive analysis summarizes data and gives an overview but does not specifically test relationships in a robust statistical manner.
Therefore, to demonstrate and analyze relationships among data points, statistical analysis is the correct choice.
So, the correct answer is option (D).