Statistical Thinking in Excel: Linear Regression and Multivariate Analysis

Understanding how different factors influence your data is essential for accurate decision-making. This course introduces core statistical principles, helping you uncover meaningful trends and evaluate relationships between variables directly within Excel. You will begin by mastering foundational concepts such as data types, correlation, and variance before moving into practical predictive modeling. Through clear written explanations and step-by-step formula examples, you will learn to construct, interpret, and evaluate linear regression models with confidence.\n\nWhat you'll learn:\n- Understand fundamental statistical terminology, including dependent variables, correlation, and statistical significance\n- Construct simple and multiple linear regression models using standard Excel functions\n- Evaluate regression results using metrics like R-squared, standard error, and p-values\n- Prepare and clean structured business data for reliable statistical analysis\n- Apply linear regression techniques to practical business forecasting scenarios\n\nThe course begins with foundational definitions and key statistical principles, ensuring a smooth transition into multivariate analysis and regression tools. Each topic features detailed text lessons and practical formula breakdowns designed for easy application.\n\nThis course is ideal for beginners, business analysts, and decision-makers who want to develop strong quantitative reasoning without prior advanced statistics experience.\n\nStart reading today to turn raw spreadsheet data into powerful statistical insights.