Multiple Regression Basics
Free CFA Level II lesson in Quantitative Methods. 13 min read, ~1,909 words.
Multiple regression models Y as a function of two or more X variables; OLS minimizes the sum of squared residuals. Five classical assumptions (LINER): Linearity, Independence, No X-error correlation, Equal variance, Rank condition, must hold for OLS to be BLUE. ANOVA decomposition: SST = RSS + SSE, with degrees of...
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What this lesson covers
- Content
- Example 1
- Example 2
- Common Mistakes
- Check Your Understanding
- Exam Shortcuts
Learning objectives
- multiple regression basics
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