This book shows how least squares, analysis of variance, and measurement-error techniques help you understand data from experiments. It emphasizes real-world applications over theory, making complex ideas accessible to practitioners. The material focuses on interpreting experimental data, diagnosing model validity, and estimating relationships when variables are observed with error. It blends foundational methods with practical guidance so researchers can apply regression analysis to a wide range of scientific problems.

Learn how to estimate relationships between variables from experimental data.
See how to separate and assess the effects of different factors on outcomes.
Understand when and how to use analysis of covariance and other regression tools.
Gain practical strategies for testing significance and drawing valid conclusions.

Ideal for readers who work with experimental data in the sciences and want reliable, hands-on guidance for regression analysis.

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