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It can show

  • whether or not there is any relationship between two variables,
  • the nature of the relationship - linear, quadratic, inverse, power etc,
  • precision of relationship: the spread or scatter around the curve of best fit,
  • whether the scatter is constant or changes (heteroscedasticity),
  • presence of outliers,
  • clustering (eg heights v/s weight of adults may show one cluster of points for men and another for women. If so, gender is another relevant variable).
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∙ 13y ago

What else can I help you with?