Skip to main content

Bivariate Relationships Featuring Two Continuous Variables

  • Chapter
  • First Online:
  • 157k Accesses

Abstract

In this chapter, we discuss bivariate relationships between two continuous variables. In research, these are the relationships that occur the most often. We can express bivariate relationships between continuous variables in three ways: (1) through a graphical representation in the form of a scatterplot, (2) through a correlation analysis, and (3) through a bivariate regression analysis. We describe and explain each method and show how to implement it in SPSS and Stata.

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   79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    In the dataset, you might want to write Atktiv because writing out activities makes the word too long to fit into the data field in Stata.

  2. 2.

    Please note that we can only compare adjusted R-squared values of different models, if these models have the same number of observations.

  3. 3.

    Ibid.

Further Reading

  • Gravetter, F. J., & Forzano, L. A. B. (2018). Research methods for the behavioral sciences. Boston: Cengage Learning (chapter 12). Nice introduction into correlational research; covers the data and methods for correlational analysis, applications of the correlational strategy, and strength and weakness of the correlational research strategy.

    Google Scholar 

  • Montgomery, D. C., Peck, E. A., & Vining, G. G. (2012). Introduction to linear regression analysis (Vol. 821). San Francisco: John Wiley & Sons (chapters 1 and 2). Chapters 1 and 2 provide a hands on and practical introduction into linear regression modelling, first in the bivariate realm and then in the multivariate realm.

    Google Scholar 

  • Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Toronto, ON: Nelson Education (chapter 11). Provides a good introduction into correlation and regression analysis clearly highlighting the differences between the two techniques.

    Google Scholar 

  • Roberts, L. W., Wilkinson, L., Peter, T., & Edgerton, J. (2015). Understanding social statistics. Don Mills: Oxford University Press (chapters 10–14). These chapters offer students the basic tools to examine the form and strength of bivariate relationships.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Stockemer, D. (2019). Bivariate Relationships Featuring Two Continuous Variables. In: Quantitative Methods for the Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-99118-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-99118-4_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99117-7

  • Online ISBN: 978-3-319-99118-4

  • eBook Packages: Social SciencesSocial Sciences (R0)

Publish with us

Policies and ethics