Skip to main content

Abstract

With test data it is often necessary to determine a relationship between the two sets of numbers, for interpolation and extrapolation. It is possible to graph the data as linear, semi-log or log plots to determine the equation and constants. The XY line then is a visual estimate of the average point positions. A more accurate method is to determine the equation of the graph of data statistically by using linear regression. The linear regression method can be used not only for linear data but for any type of curve that can be rewritten in a linear form.

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 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

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Parks, R.G. (1992). Curve Fitting with Linear Regression. In: Quattro Pro® for Scientific and Engineering Spreadsheets. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2810-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-2810-3_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97636-5

  • Online ISBN: 978-1-4612-2810-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics