Linear Regression

Fit, interpret, diagnose and defend an OLS model like a working data scientist

Learn how ordinary least squares fits a line, how to read coefficients (dummies, interactions, log transforms), the Gauss-Markov assumptions and how to diagnose violations, R-squared traps, standard errors and confidence intervals, VIF, leverage and Cook's distance.

Practice questions (6)

• Fit and Test a Simple Regression by Hand

  Intermediate · Free
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• Interpreting Log, Dummy and Interaction Coefficients

  Intermediate
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• Reading Diagnostics and Choosing the Right Fix

  Intermediate
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• VIF, Multicollinearity and What It Actually Breaks

  Intermediate
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• Outlier vs Leverage vs Influence

  Advanced
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Quizzes (1)