Skip to main content

Linear Regression Modeling

  • Chapter
  • 353 Accesses

Abstract

When used appropriately, linear regression is a fantastic modeling technique. As with all regression analyses, the idea is to establish and enumerate the relationship of one or more independent values to a single dependent value. For example, we may want to investigate if there is a strong relationship between CPU utilization (the dependent value) and the number of orders entered per hour (the independent value). If the relationship is indeed linear and strong, we can forecast.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   49.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   49.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Craig Shallahamer

About this chapter

Cite this chapter

(2007). Linear Regression Modeling. In: Forecasting Oracle Performance. Apress. https://doi.org/10.1007/978-1-4302-0208-0_9

Download citation

Publish with us

Policies and ethics