Manuals/calci/CORREL

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CORREL(ar1,ar2)


  • and are the set of values.

Description

  • This function gives the correlation coefficient of the 1st set( ) of values and 2nd set( ) of values.
  • Correlation is a statistical technique which shows the relation of strongly paired variables.
  • For example, test average and study time are related; those who spending more time to study will get high marks and Average will go down for those who spend less time for studies.
  • There are different correlation techniques to measure the Degree of Correlation.
  • The most common of these is the Pearson Correlation Coefficient denoted by  .
  • The main result of a correlation is called the Correlation Coefficient( )which ranges from -1 to +1.
  • The   value is positive i.e +1 when the two set values increase together then it is the perfect Positive Correlation.
  • The   value is negative i.e. (-1) when one value decreases as the other increases then it is called Negative Correlation.
  • Suppose the   value is 0 then there is no correlation (the values don't seem linked at all).
  • If we have a series of   measurements of   and   written as   and   where   then the Sample Correlation Coefficient is:
 
  •   and   are the sample means of   and  .
  • This function will give the result as error when
1.  and   are non-numeric or different number of data points.
2.  or   is empty
3.The denominator value is zero.
  • Suppose   and   contains any text, logical values, or empty cells, like that values are ignored.

Examples

  1. Find the correlation coefficients for X and Y values are given below :X={1,2,3,4,5}; Y={11,22,34,43,56}

=CORREL(A4:A8,B4:B8)=0.99890610723867

  1. The following table gives the math scores and times taken to run 100 m for 10 friends:SCORE(X)={52,25,35,90,76,40}; TIME TAKEN(Y)={11.3,12.9,11.9,10.2,11.1,12.5}

=CORREL(A5:A10,B5:B10)= -0.93626409417769

  1. Find the correlation coefficients for X and Y values are given below :X={-4,11,34,87};Y={9,2,59,24} =CORREL(A1:A4,B1:B4)=0.353184665607273

See Also


References

Correlation