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Relationships Between Continuous Variables

In: Python for Marketing Research and Analytics

Author

Listed:
  • Jason S. Schwarz

    (Google)

  • Chris Chapman

    (Google)

  • Elea McDonnell Feit

    (Drexel University)

Abstract

Experienced analysts understand that the most important insights in marketing analysis often come from understanding relationships between variables. While it is helpful to understand single variables, such as how many products are sold at a store, more valuable insight emerges when we understand relationships such as “Customers who live closer to our store visit more often than those who live farther away,” or “Customers of our online shop buy as much in person at the retail shop as do customers who do not purchase online.”

Suggested Citation

  • Jason S. Schwarz & Chris Chapman & Elea McDonnell Feit, 2020. "Relationships Between Continuous Variables," Springer Books, in: Python for Marketing Research and Analytics, chapter 0, pages 77-102, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-49720-0_4
    DOI: 10.1007/978-3-030-49720-0_4
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