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Lack-of-fit sum of squares
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Related lectures (31)
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Fermat's Theorem: Sums of Squares
Explores Fermat's Theorem, factorization of integers, properties of Z[i], and Hurwitz quaternions.
Specification Testing and Machine Learning
Explores specification testing, machine learning, overfitting, regularization, prediction tests, and variable selection.
Linear Regression: Understanding Quantitative Relationships
Covers linear regression, from developing research questions to interpreting R-squared and adding predictors to improve the model.
Hubble Law: Observational Cosmology
Introduces the Hubble law, parsec, and redshift in observational cosmology.
Linear Least Squares: Minimizing Error Coefficients
Explores linear least squares, normal equations, and the importance of linear regression in minimizing errors.
Multilinear Regression: Standardized Variables and Effects
Explores standardizing variables and effects in multilinear regression analysis.
Goodness-of-fit Tests in Statistics
Explores goodness-of-fit tests, X² tests, and independence tests in statistics, with practical examples and applications.
Singular Value Decomposition: Theory and Applications
Explores Singular Value Decomposition theory, linear system solutions, least squares, and data fitting concepts.
Goodness-of-Fit Test: Variables and Distributions
Covers the revision of variables, categorical data analysis, and goodness-of-fit tests.
Multicollinearity and Model Fit Analysis
Explores the dangers of 'big' models, multicollinearity issues, and model fit analysis in statistics for data science.
Basics of linear regression model
Covers the basics of linear regression, OLS method, predicted values, residuals, matrix notation, goodness-of-fit, hypothesis testing, and confidence intervals.
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