pearsons rank

• what is pearsons rank used for?

  like spearmans, pearsons is used to identify a relationship between two data sets

  a final value of 1 means there is a perfect positive correlation

  a final value of -1 means there is a perfect negative correlation

  a final value of 0 means there is no relationship

  the closer the value is to 1 or -1, the stronger the relationship between the two data sets
• what are the advantages of using pearsons rank?

  pearsons is more powerful than spearmans, as it uses actual values

  the results can be further analysed with a scattergraph or a line of best fit

  positive or negative correlations can be easily analysed
• what are the disadvantages of using pearsons rank?

  pearsons is more complex to calculate than spearmans, meaning mistakes can be made more easily and the final result may be inaccurate

  a suitable size of data set is required to make it more reliable (at least 8)

  the result does not tell you what causes the relationship, just that there is one