Business Statistics: Linear Regression Modeling in Excel

Every business collects data, but the real value lies in understanding the relationships between your metrics. Linear regression is the foundational statistical tool that helps you uncover these connections and forecast future outcomes. This written course guides you from statistical basics to building functional regression models in Excel. You will learn to transform raw business data into actionable insights, helping your organization make smarter, evidence-based decisions. What you will learn: Understand foundational statistical concepts, terminology, and the core mathematics behind linear regression; Build and estimate simple and multiple linear regression models using standard Excel tools; Apply dummy variables to incorporate qualitative and categorical data into your business models; Interpret regression outputs, including R-squared, p-values, and coefficients, to explain real-world business performance; Evaluate model assumptions and diagnose common pitfalls like multicollinearity to ensure your predictions are reliable; Clean and prepare your business datasets using modern data-handling practices before running your analysis. The course begins with essential terminology and the core theory of linear relationships. You will then progress through step-by-step written explanations and practical data scenarios, learning how to configure and run models directly within Excel. This course is designed for aspiring business analysts, managers, and students who want to build a solid foundation in data analysis without needing a background in advanced programming. Start reading today to unlock the predictive power of your business data.