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Linear regression is used to see how well an outcome (’dependent’) variable can be predicted by another (’independent’) variable. Even if there is a high correlation overall, it’s important to look at the graph to see how far off the mark a prediction can be before using it to guide decisions (see red dots).



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  • Home
  • Books
  • Illustrations
    • Marketing
    • Brand Development
    • Brand Experience
    • Innovation
    • Communications Strategy
    • Media Characteristics
    • Creative Content
    • Pricing & Sales Promotion
    • Measurement
    • Data and Analysis
    • Brand Review & Planning
    • Brand Extension
    • Mental Processes
    • Business
    • Case Examples
  • Articles
  • Media
  • Services
    • Consultancy
    • Speaking Engagements
    • Training for B2B Professionals
    • Market Research Training
    • Visualisations
  • Contact