Difference between revisions of "Manuals/calci/CORREL"

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<div style="font-size:30px">'''CORREL(ar1,ar2)'''</div><br/>
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<div style="font-size:30px">'''CORREL(Array1,Array2)'''</div><br/>
*<math>ar1</math> and <math>ar2 </math> are the set of values.
+
*<math>Array1</math> and <math>Array2 </math> are the set of values.
 +
**CORREL(), returns the correlation coefficient between two data sets.
 +
 
 
==Description==
 
==Description==
*This function gives the correlation coefficient of the 1st set(<math>ar1</math>) of values and 2nd set(<math>ar2</math>) of values.
+
*This function gives the correlation coefficient of the 1st set(<math>Array1</math>) of values and 2nd set(<math>Array2</math>) of values.
 
*Correlation is a statistical technique which shows the relation of strongly paired variables.   
 
*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.
 
*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.
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*The most common of these is the Pearson Correlation Coefficient  denoted by <math>r_{xy}</math>.
 
*The most common of these is the Pearson Correlation Coefficient  denoted by <math>r_{xy}</math>.
 
*The main result of a correlation is called the Correlation Coefficient(<math>r</math>)which  ranges from -1 to +1.  
 
*The main result of a correlation is called the Correlation Coefficient(<math>r</math>)which  ranges from -1 to +1.  
 +
*The correlation calculation only works well for relationships that follow a straight line.
 
*The <math>r</math> value is positive i.e +1  when the two set values increase together then it is the perfect Positive Correlation.
 
*The <math>r</math> value is positive i.e +1  when the two set values increase together then it is the perfect Positive Correlation.
 
*The <math>r</math> value is negative i.e. (-1)  when one value decreases as the other increases then it is called Negative Correlation.  
 
*The <math>r</math> value is negative i.e. (-1)  when one value decreases as the other increases then it is called Negative Correlation.  
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*<math>\bar x</math> and <math>\bar y</math> are the sample means of <math>X</math> and <math>Y</math>.
 
*<math>\bar x</math> and <math>\bar y</math> are the sample means of <math>X</math> and <math>Y</math>.
 
*This function will give the result as error when  
 
*This function will give the result as error when  
  1.<math>ar1</math> and <math>ar2</math> are non-numeric or different number of data points.
+
  1.<math>Array1</math> and <math>Array2</math> are non-numeric or different number of data points.
  2.<math>ar1</math> or <math>ar2</math> is empty
+
  2.<math>Array1</math> or <math>Array2</math> is empty
 
  3.The denominator value is zero.
 
  3.The denominator value is zero.
*Suppose <math>ar1</math> and <math>ar2</math> contains any text, logical values, or empty cells, like that values are ignored.
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*Suppose <math>Array1</math> and <math>Array2</math> contains any text, logical values, or empty cells, like that values are ignored.
 +
 
 +
==ZOS==
 +
*The syntax is to calculate CORREL in ZOS is <math>CORREL(Array1,Array2)</math>.
 +
**<math>Array1</math> and <math>Array2 </math> are the set of values.
 +
*For e.g.,CORREL([(-5)..(-1)],[10..15])
 +
{{#ev:youtube|Il4jCpJy0IA|280|center|Correlation Coefficient}}
  
 
==Examples==
 
==Examples==
  
#Find the correlation coefficients for X and Y values are given below :X={1,2,3,4,5};  Y={11,22,34,43,56}
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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
 
=CORREL(A4:A8,B4:B8)=0.99890610723867
#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}  
+
 
 +
2. 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
 
=CORREL(A5:A10,B5:B10)= -0.93626409417769
#Find the correlation coefficients for X and Y values are given below :X={-4,11,34,87};Y={9,2,59,24}  
+
 
 +
3. 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
 
=CORREL(A1:A4,B1:B4)=0.353184665607273
 +
 +
==Related Videos==
 +
 +
{{#ev:youtube|s2TVkYmmCAs|280|center|Correlation Coefficient}}
  
 
==See Also==
 
==See Also==
 
*[[Manuals/calci/COVAR  | COVAR ]]
 
*[[Manuals/calci/COVAR  | COVAR ]]
 
*[[Manuals/calci/FISHER  | FISHER ]]
 
*[[Manuals/calci/FISHER  | FISHER ]]
 +
 +
==References==
 +
[http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient  Correlation]
  
  
==References==
+
 
[http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient| Correlation]
+
*[[Z_API_Functions | List of Main Z Functions]]
 +
 
 +
*[[ Z3 |   Z3 home ]]

Latest revision as of 04:26, 25 August 2020

CORREL(Array1,Array2)


  • and are the set of values.
    • CORREL(), returns the correlation coefficient between two data sets.

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 correlation calculation only works well for relationships that follow a straight line.
  • 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.

ZOS

  • The syntax is to calculate CORREL in ZOS is .
    • and are the set of values.
  • For e.g.,CORREL([(-5)..(-1)],[10..15])
Correlation Coefficient

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

2. 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

3. 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

Related Videos

Correlation Coefficient

See Also

References

Correlation