Multiple Linear Regression

56 min
Block 12 — Regression Algorithms
Objective
master the matrix formulation of the linear model with multiple variables and its least-squares solution, interpret a partial coefficient and state the conditions justifying this interpretation, correctly incorporate categorical variables, interactions and nonlinear terms, distinguish the coefficient of determination from the adjusted coefficient, conduct diagnostic analysis of the fitted model.
Estimated duration
60 minutes
Prerequisites
chapters 016, 017, 022, 023, 026, 031 and 044
Associated quizzes
045.1-quiz-matrix-formulation.md to 045.7-quiz-diagnostic.md

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This lesson is part of the “Regression Algorithms” module

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