*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.
- ISBN13 9781000437966
- Publish Date 12 September 2021
- Publish Status Active
- Publish Country GB
- Publisher Taylor & Francis Ltd
- Imprint Chapman & Hall/CRC
- Format eBook
- Pages 420
- Language English