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Regression notesQuiz prep

Statistics / Regression notes

Regression notes

Working through chapter 5 for Statistics for Data Science before Friday’s quiz. Also feeds Rebuild onboarding flow.

Residuals should look random. If there’s a pattern, the model is missing something.

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Key ideas

  • A coefficient is the change in y for one unit of x
  • R² is the share of variance the model explains
  • Check residuals before trusting a p-value
Worked example

Predicting quiz score from hours studied: score = 52 + 6.5 × hours

Each extra hour of study is worth about 6.5 points. The residuals look random, so the line is a fair summary.

Before Friday

  • Redo the residual plots from chapter 5
  • Write the coefficient-interpretation cheat sheet
  • Timed practice set, 45 minutes

Related: Deep Work by Cal Newport for the focus routine behind the timed set.