*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.
- ISBN:
- 9780367753665
- 9780367753665
-
Category:
- Probability & statistics
- Format:
- Paperback
- Publication Date:
-
15-09-2021
- Publisher:
- Taylor & Francis Ltd
- Country of origin:
- United Kingdom
- Pages:
- 420
- Dimensions (mm):
- 234x156mm
- Weight:
- 0.62kg
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