*Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret its results, test assumptions, and adapt the model when assumptions are not satisfied.*Uses numerous graphs in R to illustrate the model's results, assumptions, and other features.*Does not assume a background in calculus or linear algebra; rather, an introductory statistics course and familiarity with elementary algebra are sufficient.*Provides many examples using real world datasets relevant to various academic disciplines.*Fully integrates the R software environment in its numerous examples.

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