The Fifth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling.The book is primarily designed for a one-semester course in applied regression, requiring 10 of its 12 chapters to cover linear models fit with ordinary least squares in great depth but with minimal mathematics. This new edition continues to stress ideas and interpretation. Computer input will not appear in the book. However, the author does add a very brief sub-section to each section called Do It in R, listing relevant R functions. The book will continue to be useful for users of other packages. This new edition contains more homework problems, two new data sets, a brief discussion of R Studio in Chapter 1, and several updated chapters.
Research & Reviews: Journal of Statistics
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- 56 Pages
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