Which analysis method would you use to explore relationships among variables?

Regression analysis is the appropriate method to explore relationships among variables because it is specifically designed to examine how one or more independent variables affect a dependent variable. This analytical technique provides coefficients that quantify the strength and direction of the relationships, allowing analysts to understand the extent to which each independent variable impacts the dependent variable.

By utilizing regression analysis, you can identify trends, determine correlations, and make predictions based on the observed data. It is particularly useful in fields such as economics, medicine, and social sciences, where understanding these relationships can inform decision-making.

Other methods like descriptive analysis mainly summarize data, predictive analysis forecasts future outcomes based on historical data without pinpointing specific relationships, and quantitative analysis encompasses a broader range of statistical techniques beyond just exploring relationships. Hence, when the goal is to investigate how variables are connected, regression analysis is the most suitable choice.