Regression diagnostics in R

Regression models assume the errors are normal, independent, and have constant variance. In addition, these models assume a particular functional form between the expected response and the explanatory variables. This video discusses graphical techniques for assessing model assumptions. These diagnostics involve case statistics including leverage, (standardized) residuals, and Cook's Distance.

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