How are relationships between variables predicted? - Answers

Relationships between variables are typically predicted using statistical methods such as regression analysis, which quantifies the strength and direction of associations. By analyzing historical data, researchers can identify patterns and correlations, allowing them to create models that estimate how changes in one variable may affect another. Machine learning techniques can also be employed to capture complex relationships in large datasets, enhancing predictive accuracy. Ultimately, the goal is to derive insights that inform decision-making and forecasting.