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Regression Analysis

In: A Concise Guide to Market Research

Author

Listed:
  • Marko Sarstedt

    (Otto-von-Guericke- University Magdeburg)

  • Erik Mooi

    (The University of Melbourne)

Abstract

We first provide comprehensive, but simple, access to essential regression knowledge by discussing how regression analysis works, the requirements and assumptions on which it relies, and how you can specify a regression analysis model that allows you to make critical decisions for your business, clients, or project. Each step involved in regression analysis is linked to its execution in SPSS. We show how to use a range of SPSS’s easy-to-learn statistical procedures that underlie regression analysis, which will allow you to analyze, chart, and validate regression analysis results and to assess your analysis’s robustness. Interpretation of SPSS output can be difficult, but we make this easier by means of an annotated case study. We conclude with suggestions for further readings on the use, application, and interpretation of regression analysis.

Suggested Citation

  • Marko Sarstedt & Erik Mooi, 2019. "Regression Analysis," Springer Texts in Business and Economics, in: A Concise Guide to Market Research, edition 3, chapter 7, pages 209-256, Springer.
    • Handle: RePEc:spr:sptchp:978-3-662-56707-4_7
    DOI: 10.1007/978-3-662-56707-4_7
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    Cited by:

    1. Moshood, Taofeeq D. & Nawanir, Gusman & Mahmud, Fatimah & Mohamad, Fazeeda & Ahmad, Mohd Hanafiah & AbdulGhani, Airin, 2022. "Why do consumers purchase biodegradable plastic? The impact of hedonics and environmental motivations on switching intention from synthetic to biodegradable plastic among the young consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    2. Behl, Abhishek & Jayawardena, Nirma & Nigam, Achint & Pereira, Vijay & Shankar, Amit & Jebarajakirthy, Charles, 2023. "Investigating the revised international marketing strategies during COVID-19 based on resources and capabilities of the firms: A mixed method approach," Journal of Business Research, Elsevier, vol. 158(C).
    3. Naduni Madhavika & Nipuni Jayasinghe & Sandali Ehalapitiya & Thusara Wickramage & Dinimali Fernando & Vinura Jayasinghe, 2023. "Operationalizing resilience through collaboration: the case of Sri Lankan tea supply chain during Covid-19," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 2981-3018, August.
    4. Kowalczuk, Pascal & Siepmann (née Scheiben), Carolin & Adler, Jost, 2021. "Cognitive, affective, and behavioral consumer responses to augmented reality in e-commerce: A comparative study," Journal of Business Research, Elsevier, vol. 124(C), pages 357-373.

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