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Data 110 Project
Project 1
Omitted Variable Bias
A practical walkthrough of Omitted Variable Bias (OVB) using the bwght dataset (n = 1,388). Covers the two conditions for OVB, direction of bias using the 2×2 matrix, and a side-by-side regression comparison via stargazer — showing how omitting family income overstates the negative effect of smoking on infant birth weight. Built with R and the wooldridge package.
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Gauss Markov Assumptions and Residual Analysis
A practical walkthrough of the Gauss-Markov assumptions using the wage1 dataset (n = 526). Covers plain-English and technical explanations of all seven assumptions, a simple OLS regression of wages on education, diagnostic plot interpretation, and the case for log-transforming the dependent variable. Built with R and the Wooldridge package.