Skip to main content

Multiple Linear Regression

  • Chapter
  • First Online:
A Modern Approach to Regression with R

Part of the book series: Springer Texts in Statistics ((STS))

Throughout Chapter 5, we will assume that the multiple linear regression model under consideration is a valid model for the data. In the next chapter we will consider a series of tools to check model validity.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
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

Similar content being viewed by others

Notes

  1. 1.

    In the next chapter we shall see that the cut-off is 2(p + 1)/n when there are p predictors

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Sheather, . (2009). Multiple Linear Regression . In: A Modern Approach to Regression with R. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-09608-7_5

Download citation

Publish with us

Policies and ethics