Introduction: Why Multicollinearity Matters in Data Analysis Multicollinearity is a common issue in regression analysis that can mislead results and weaken the reliability of your models. Whether you’re a student, data analyst, or researcher, understanding how multicollinearity affects your outcomes is crucial for building accurate predictive models. What Is Multicollinearity? A Simple Explanation Multicollinearity occurs […]