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Identify a hypothesis from the “real world” that would be suitable for a correlation. Be sure...

  1. Identify a hypothesis from the “real world” that would be suitable for a correlation. Be sure to noted what correlation would be run (Pearson or Spearman).
  2. When is it most appropriate to use a correlation statistic? When would you use a Pearson r over a Spearman rank?
Math   Statistics-And-Probability   
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Answer #1

The relationship between Height and weight also between income and expenditure are the best examples of correlated data. Another example can be demand and inflation.

In all the above examples Pearson correlation coefficient will be used as there is linear relationship.

The Pearson correlation coefficient is the most widely used. It measures the strength of the linear relationship between normally distributed variables. When the variables are not normally distributed or the relationship between the variables is not linear, it may be more appropriate to use the Spearman rank correlation method.

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