Abstract
This chapter covers an introduction to simple linear regression. This extends the concept of correlation from Chapter 3, and involves estimating the relationship between two variables. We also cover the main concepts for the ordinary least squares method in this chapter, which is the core for the next chapters. Hypothesis testing of regression coefficients is also covered, and the focus is on relating the output from Gretl and R to what we can obtain manually when working with a small dataset.
This is a preview of subscription content, log in via an institution to check access.
Notes
- 1.
All datasets used in the book can be downloaded from the book’s website.
Reference
Wooldridge, J. (2019). Introductory econometrics: A modern approach. Cengage Learning.
Author information
Authors and Affiliations
Corresponding author
5.1 Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Karlsen Kivedal, B. (2024). Simple Linear Regression. In: Applied Statistics and Econometrics. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-53142-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-031-53142-2_5
Published:
Publisher Name: Palgrave Macmillan, Cham
Print ISBN: 978-3-031-53141-5
Online ISBN: 978-3-031-53142-2
eBook Packages: Economics and FinanceEconomics and Finance (R0)