Linear Regression with One and Multiple Regressors
Free GARP FRM Part I lesson in Quantitative Analysis. 19 min read, ~2,851 words.
OLS estimates models linear in the parameters; non-linear functions of (logs, polynomials) are fine, and the slope minimizes the sum of squared residuals. Six OLS assumptions: linearity, no multicollinearity, exogeneity ( ), homoskedasticity, no autocorrelation, normality. First five give BLUE (Gauss-Markov); normality enables exact small-sample t and F tests. Coefficient...
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What this lesson covers
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- Example 1
- Example 2
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- Exam Shortcuts
Learning objectives
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