*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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