Practical Regression Analysis in Excel and SPSS

Unlock the power of predictive data analysis by mastering one of the most vital statistical techniques in modern business and research. This text-based course guides you step-by-step through the core concepts of regression analysis. You will learn how to build, interpret, and evaluate linear regression models, transitioning from basic correlation to complex multiple and hierarchical models using widely available tools like Excel and SPSS. What you'll learn: - Learn the core principles of correlation and simple linear regression - Build and analyze multiple and hierarchical regression models - Interpret key statistical metrics including R-Square, p-values, and coefficients - Apply practical workflows in Excel and SPSS to run regression analyses - Validate model assumptions and identify common pitfalls like multicollinearity and overfitting You will start with fundamental statistical definitions and correlation before progressing to hands-on regression modeling. Each concept is reinforced with clear, written walk-throughs and practical data scenarios. This course is designed for beginners, students, and aspiring data analysts who want to build a solid foundation in statistics with no prior regression experience required. Start analyzing your data with confidence today.