Linear Regression with One and Multiple Regressors
Free GARP FRM Part I lesson in Quantitative Analysis. 18 min read, ~2,759 words.
Linear in parameters, OLS estimates models linear in the coefficients, even with non-linear functions of (logs, polynomials). Six OLS assumptions: linearity, no multicollinearity, exogeneity ( ), homoskedasticity (constant ), no autocorrelation, normality of errors. Under these, OLS is BLUE (Gauss-Markov). Coefficient inference:. Reject when critical (≈ 1.96 for large samples...
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- Example 2
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