Multiple linear regression made simple

Introduction Simple linear regression: reminder Principle Equation Interpretations of coefficients \(\widehat\beta\) Significance of the relationship Correlation does not imply causation Conditions of application Visualizations Multiple linear regression Principle Equation Interpretations of coefficients \(\widehat\beta\) Conditions of application How to choose a good linear model? \(P\)-value associated to the model Coefficient of determination \(R^2\) Parsimony Visualizations To go furt...

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