Introduction

A regression model describes how the distribution of a response (or dependent) variable—or some characteristic of that distribution, typically its mean—changes with the values of one or more explanatory (or independent) variables. Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (straight-line) relationship between the response and an explanatory variable, is the ...

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