Regression Analysis
Thomas Cleff
Additional contact information
Thomas Cleff: Pforzheim University
Chapter 5 in Exploratory Data Analysis in Business and Economics, 2014, pp 115-145 from Springer
Abstract:
Abstract Regression analysis – often referred to simply as regression – is an important tool in statistical analysis. The concept first appeared in an 1877 study on sweet-pea seeds by Sir Francis Galton (1822–1911). He used the idea of regression again in a later study on the heights of fathers and sons. He discovered that sons of tall fathers are tall but somewhat shorter than their fathers, while sons of short fathers are short but somewhat taller than their fathers. In other words, body height tends toward the mean. Galton called this process a regression – literally, a step back or decline. We can perform a correlation to measure the association between the heights of sons and fathers. We can also infer the causal direction of the association. The height of sons depends on the height of fathers, and not the other way around. Galton indicated causal direction by referring to the height of sons as the dependent variable and the height of fathers as the independent variable. But take heed: regression does not necessarily prove the causality of the association. The direction of effect must be derived theoretically before it can be empirically proven with regression. Sometimes the direction of causality cannot be determined, as for example between the ages of couples getting married. Does the age of the groom determine the age of the bride, or vice versa? Or do the groom’s age and the bride’s age determine each other mutually? Sometimes the causality is obvious. So, for instance, blood pressure has no influence on age, but age has influence on blood pressure. Body height has an influence on weight, but the reverse association is unlikely (Swoboda 1971, p. 308).
Keywords: Market Share; Variance Inflation Factor; Image Size; Adjusted Coefficient; Bivariate Regression (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-01517-0_5
Ordering information: This item can be ordered from
http://www.springer.com/9783319015170
DOI: 10.1007/978-3-319-01517-0_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().