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Lecture
Multilinear Regression: Basics and Applications
Description
This lecture covers the basics of multilinear regression, including the least square fit algorithm and its application in analyzing the Young modulus of steel based on temperature, carbon, and sulfur concentrations. It also discusses empirical models, measurement points, and the difference between mechanistic and empirical models.
Official source
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