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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the concepts related to multilinear regression, including variance of coefficients, confidence intervals, correlation matrix, variance inflation factors, model coordinate, standardized response variance, and information function. It also discusses design optimization and orthogonality, project teamwork, abstract submission, design optimization criteria, industrial process optimization, and the optimization procedure. The algebraic form of ANOVA is also explained, along with the method candexch in Matlab for candidate exchange selection.