The primary objective of regression analysis is to:

The primary objective of regression analysis is to predict future outcomes by identifying the relationships between dependent and independent variables. In a regression model, the dependent variable is the outcome you want to predict, while the independent variables are the factors that may influence that outcome. By using historical data, regression analysis allows researchers and businesses to develop models that can forecast future trends based on observed patterns, helping to inform decision-making processes.

This predictive capability is particularly valuable in various fields, such as economics, finance, marketing, and social sciences, where understanding how different factors impact future results is crucial. While identifying causal relationships and minimizing prediction error are also key components of regression analysis, the overarching goal typically focuses on making reliable predictions. Thus, utilizing regression models effectively enables stakeholders to anticipate future scenarios, adapt strategies, and optimize outcomes based on their predictive insights.