Applied Regression Analysis in Minitab for Data-Driven Decisions

Making sense of complex business and scientific data requires more than just basic statistics. Regression analysis is a powerful tool for uncovering relationships between variables, and Minitab makes this statistical modeling accessible without requiring complex programming. This text-only course guides you through the process of setting up, running, and interpreting regression models. You will gain the confidence to analyze datasets, evaluate model fit, and make accurate predictions using Minitab's industry-standard statistical tools. What you'll learn: Understand foundational statistical concepts and key regression terminology; Configure linear and multiple regression models within the Minitab interface; Interpret regression outputs, including R-squared, p-values, and coefficients; Diagnose and resolve common model issues like multicollinearity and heteroscedasticity; Evaluate predictive performance using modern model validation techniques; Apply regression results to solve real-world data analysis problems. Starting with foundational definitions and data preparation, the text-based lessons walk you through step-by-step statistical workflows. You will progress from simple correlation to complex multiple regression modeling and diagnostic testing through clear explanations and written examples. This course is designed for beginners, data analysts, quality professionals, and researchers who want to master regression analysis in Minitab. No prior advanced statistical training or Minitab experience is required. Start reading today to unlock the predictive power of your data.