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Chapter titles: 1. Fitting lines to data, 2. Least squares lines: Going deeper (transformations to linearity), 3. Fitting general curves to data, 4. Building models: Optimization measures, 5. Building models: Categorical variables, 6. Regression, 7. Building regression models, 8. Additional topics (e.g., leverage, influence). Illustrative examples using human and animal physiology data, sports data (e.g., mile record times, NFL passer rating), and data illustrating empirical (e.g., Zipf’s Law) and scientific laws (e.g., electrical circuits, Kepler’s third law). Relevant R code is included.

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Kick off your book project in 2 hours, get started with GhostAI in 2 hours, or do both! Free live workshops, on Zoom. You’ll leave with a real book project and a clear plan to keep going. Saturday, June 27, 2026.

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