CFA Level 2 Quantitative Methods-Class 2 | Understand Multiple Regression and Underlying Assumptions

In this video (Multiple Regression Class 2), Sanjay Saraf Sir moves beyond textbook formulas to demonstrate the Practical Application of Multiple Regression using real-world data. If you are watching this and thinking, “I wish I were part of this batch,” you still have the chance. Admissions for the CFA Level 2 Full Immersion Batch are now open. Enroll here: https://www.ssei.co.in/product/cfal2newbatch To know more about the program: Call our expert counsellors at +91 75950 53300 Or click the link to chat with us directly: https://wa.me/917595053300?text=Hi%20Team%20SSEI%2C%20I%20am%20interested%20in%20the%20new%20CFA%20L2%20Batch. Whether you are a CFA Level 2 candidate or a finance enthusiast, this lecture bridges the gap between statistical theory and investment decision-making. Key Topics Covered: ✅ Real-Life Modeling: Using IPO data (supplied by students) to forecast listing gains. ✅ Data Transformation: Creating Dummy Variables (Sector) and Log Transformations (Issue Size). ✅ Excel Walkthrough: How to run Regression using the Data Analysis Toolpak. ✅ Interpreting Output: Detailed breakdown of ANOVA, Regression Statistics, and Residuals. ✅ R-Squared vs. Adjusted R-Squared: Understanding "Parsimonious Models" and why we penalize extra variables. ✅ Hypothesis Testing: F-Statistic (Overall Model) vs. T-Statistic (Individual Coefficients) and the power of the P-Value. ✅ Multicollinearity: Identifying when variables (like QIB vs. Total Subscription) overlap and distort results. ⏳ Timestamps: 0:00 - Introduction & Recap of Class 1 1:50 - The Objective: Modeling IPO Listing Returns 3:26 - Analyzing the Variables (GMP, Subscription, Sector, etc.) 6:40 - Creating Dummy Variables & Log Normal Transformation 13:54 - How to use Excel Data Analysis Toolpak for Regression 17:48 - Interpreting the ANOVA Table (SSR, SSE, SST) 19:40 - R-Squared vs. Adjusted R-Squared (The Concept of Parsimony) 28:47 - Understanding F-Statistic & Significance 36:05 - Detailed Math behind Adjusted R-Squared 48:30 - Standard Error of Estimate & its limitations 55:40 - Hypothesis Testing: T-Stat & P-Value logic 1:04:00 - The Problem of Multicollinearity in the Model 1:06:50 - Homework & Audio Summary Task This class is designed to give you a conceptual "feel" for the numbers so you aren't just memorizing formulas but understanding how they apply to Portfolio Management and Research. 🌟 Catalyzing Careers, Transforming Lives 🌟 Sanjay Saraf Educational Institute (SSEI) is a leading coaching institute specializing in finance education. Learn. Grow. Succeed. 📞 Call/WhatsApp: +91 7595053300 📲✅