Skip to main content

Stuff for Students

  • Chapter
  • First Online:
Linear Regression

Abstract

This chapter gives some information about R and Arc, and some hints for selected homework problems. As of August 2016, the author’s personal computer has Version 3.3.1 (June 21, 2016) of R, and Version 1.06 (July 2004) of Arc.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Becker, R. A., Chambers, J. M., & Wilks, A. R. (1988). The new S language a programming environment for data analysis and graphics. Pacific Grove, CA: Wadsworth and Brooks/Cole.

    Google Scholar 

  • Chambers, J. M. (2008). Software for data analysis: Programming with R. New York, NY: Springer.

    Google Scholar 

  • Crawley, M. J. (2005). Statistics: An introduction using R. Hoboken, NJ: Wiley.

    Google Scholar 

  • Crawley, M. J. (2013). The R book (2nd ed.). Hoboken, NJ: Wiley.

    Google Scholar 

  • Fox, J., & Weisberg, S. (2010). An R companion to applied regression. Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • MathSoft (1999a). S-Plus 2000 user’s guide. Seattle, WA: Data Analysis Products Division, MathSoft.

    Google Scholar 

  • MathSoft (1999b). S-Plus 2000 guide to statistics (Vol. 2). Seattle, WA: Data Analysis Products Division, MathSoft.

    Google Scholar 

  • Rousseeuw, P. J., & Leroy, A. M. (1987). Robust regression and outlier detection. New York, NY: Wiley.

    Google Scholar 

  • Venables, W. N., & Ripley, B. D. (2010). Modern applied statistics with S (4th ed.). New York, NY: Springer.

    Google Scholar 

  • Weisberg, S. (2002). Dimension reduction regression in R. Journal of Statistical Software, 7, webpage www.jstatsoft.org

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Olive, D.J. (2017). Stuff for Students. In: Linear Regression. Springer, Cham. https://doi.org/10.1007/978-3-319-55252-1_14

Download citation

Publish with us

Policies and ethics