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Learn About Regression Analysis In Marketing Research

We've grouped together all the information our site contains on Regression Analysis to help you quickly and easily find related articles, companies, events, jobs, associations, glossary definitions and more.

Related Articles

There are 16 articles in our archive related to this topic. Below are 5 selected at random and available to all users of the site.

Data Use: Comments on Mullet's regression article
This article is a response to Gary Mullet's article "Regression regression," which appeared in the October 1994 issue of Quirk's.
Best practices for key driver analysis
Key driver analysis is a versatile tool in the marketing research toolkit and can help clients uncover what is most important to consumers in a product or service category and understand where to focus their priorities.
Data Use: Hitting the target: Effective techniques for market share and response rate modeling using demographics
Regression analysis is a robust technique often used in target marketing studies. This article addresses issues related to dependent variables in regression-based target market models.
Data Use: To progress you must first regress
This article discusses the advantages of using regression analysis to analyze data. It distinguishes this technique from analysis of variance and goodness of fit, which also strive to determine the relevance of one measure to another.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.

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Recent Articles

Below are the 5 most recent articles on this topic. These articles were published within the last three years and are only available to registered subscribers.

Analyzing a pharmaceutical product’s key drivers
The author explores the use of principal component analysis to examine wave-to-wave changes in a tracking study.
Best practices for key driver analysis
Key driver analysis is a versatile tool in the marketing research toolkit and can help clients uncover what is most important to consumers in a product or service category and understand where to focus their priorities.
By the Numbers: The top five mistakes in marketing statistics
From asking too many questions to falling for the latest technique, here is a statistician’s take on marketers’ common statistics-related mistakes.
Data Use: Steering the vote: the case of the Oglala Sioux casino
The author uses a fictional example to look at how regression analysis can help determine which issues are important to – and likely to sway – voters.
The synergistic effects of product characteristics and promotional mix
This article takes a macro-multivariate approach to measuring three types of marketing-mix variables for pharmaceutical products, including five product characteristics, four competitive matrix characteristics and five promotional-mix characteristics and their impact on pharmaceutical sales dollars.

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