What does regression analysis help researchers achieve?

Regression analysis is a powerful statistical method used by researchers to estimate the relationships among variables and to make predictions. This technique helps in understanding how the dependent variable changes in response to changes in one or more independent variables. By establishing a mathematical equation that represents the relationship, researchers can forecast outcomes based on varying input conditions.

For example, in a study examining the effect of study hours on exam scores, regression analysis would allow researchers to quantify how changes in study hours relate to changes in scores, enabling predictions for situations with different study durations. This functionality is essential in various fields such as economics, social sciences, and engineering, where understanding the predictive relationships between variables can influence decision-making or policy formulation.

The other answer choices do not encapsulate the primary purpose of regression analysis: defining concepts and descriptions are more aligned with qualitative research approaches, whereas data collection involves methodologies that do not inherently predict or estimate relationships.