Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models Understand the basics of regression analysis: Learn the concepts of dependent and independent variables, linear relationships, and model fitting. Build and interpret linear models: Step-by-step instructions on creating and analyzing linear models, including variable selection, model evaluation, and prediction. Identify and address common issues: Explore potential problems in regression analysis, such as multicollinearity, outliers, and non-linearity, and learn how to handle them. Apply regression analysis to real-world problems: Practical examples and case studies demonstrate how to use regression analysis to solve business and research questions. Friendly writing style: Clear and concise explanations make the complex concepts of regression analysis accessible to all levels of readers. Optimized for readers: Focuses on the essential information needed to understand and apply regression analysis effectively. * Complies with Google Merchant Center's misrepresentation policy: Provides accurate and truthful information about the product's features and benefits.