Statistics
Choosing Variables for Regression Analysis
USD 5.00
Choosing the right variables is one of the most important steps in conducting a reliable regression analysis. This course provides researchers with a practical framework for identifying, evaluating, and selecting appropriate dependent and independent variables for their research models. It explains how theoretical foundations, previous research, research objectives, data availability, and statistical considerations should guide variable selection. Participants will also learn how to avoid common mistakes such as including irrelevant variables, relying solely on statistical significance, or introducing highly correlated predictors.