Difference between revisions of "Manuals/calci/CORREL"
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− | <div style="font-size:30px">'''CORREL( | + | <div style="font-size:30px">'''CORREL(Array1,Array2)'''</div><br/> |
− | *<math> | + | *<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> | + | *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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*<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> | + | 1.<math>Array1</math> and <math>Array2</math> are non-numeric or different number of data points. |
− | 2.<math> | + | 2.<math>Array1</math> or <math>Array2</math> is empty |
3.The denominator value is zero. | 3.The denominator value is zero. | ||
− | *Suppose <math> | + | *Suppose <math>Array1</math> and <math>Array2</math> contains any text, logical values, or empty cells, like that values are ignored. |
− | ==ZOS | + | ==ZOS== |
− | *The syntax is to calculate CORREL in ZOS is <math>CORREL( | + | *The syntax is to calculate CORREL in ZOS is <math>CORREL(Array1,Array2)</math>. |
− | **<math> | + | **<math>Array1</math> and <math>Array2 </math> are the set of values. |
*For e.g.,CORREL([(-5)..(-1)],[10..15]) | *For e.g.,CORREL([(-5)..(-1)],[10..15]) | ||
{{#ev:youtube|Il4jCpJy0IA|280|center|Correlation Coefficient}} | {{#ev:youtube|Il4jCpJy0IA|280|center|Correlation Coefficient}} | ||
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==Examples== | ==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 | =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 | =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 | =CORREL(A1:A4,B1:B4)=0.353184665607273 | ||
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|s2TVkYmmCAs|280|center|Correlation Coefficient}} | ||
==See Also== | ==See Also== | ||
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==References== | ==References== | ||
[http://en.wikipedia.org/wiki/Pearson_product-moment_correlation_coefficient Correlation] | [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 03:26, 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])
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
See Also
References