Difference between revisions of "Manuals/calci/MCORREL"

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(Created page with "<div style="font-size:30px">'''MCORREL (ArrayOfArrays) '''</div><br/> *<math>ArrayOfArrays</math> is set of values. ==Description== *This function is showing the result for m...")
 
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*It is multiple if there is one variable on one side and a set of variables on the other side.  
 
*It is multiple if there is one variable on one side and a set of variables on the other side.  
 
*If we have a series of <math>n</math> measurements of <math>X</math> and <math>Y</math> written as <math>x_i</math> and <math>y_i</math> where <math>i = 1, 2,...n</math> then the Sample Correlation Coefficient is:
 
*If we have a series of <math>n</math> measurements of <math>X</math> and <math>Y</math> written as <math>x_i</math> and <math>y_i</math> where <math>i = 1, 2,...n</math> then the Sample Correlation Coefficient is:
<math>CORREL(X,Y)= r_{xy}= \frac{\sum_{i=1}^n (x_i-\bar x)(y_i-\bar y)}{\sqrt{ \sum_{i=1}^n (x_i-\bar x)^2 \sum_{i=1}^n (y_i-\bar y)^2}}</math>
+
<math>CORREL(X,Y)= r_{xy}= \frac{\sum_{i=1}^n (x_i-\bar x)(y_i-\bar y)}{\sqrt{ \sum_{i=1}^n (x_i-\bar x)^2 \sum_{i=1}^n (y_i-\bar y)^2}}</math>
 
*<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>.
 
*The above formula is used for simple correlation.
 
*The above formula is used for simple correlation.
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2.<math>Array of Arrays </math>is empty
 
2.<math>Array of Arrays </math>is empty
 
3.The denominator value is zero.
 
3.The denominator value is zero.
 +
<math>\sqrt{\frac{r_{xz}^2+r_{yz}^2-2 r_{xz} r_{yz} r_{xy}}{1-r_{xy}^2}</math>
  
 
==Examples==
 
==Examples==

Revision as of 17:59, 5 July 2017

MCORREL (ArrayOfArrays)


  • is set of values.

Description

  • This function is showing the result for multiple correlation.
  • In , are set of values.
  • Correlation is a statistical technique which shows the relation of strongly paired variables.When one variable is related to a number of other variables, the correlation is not simple.
  • It is multiple if there is one variable on one side and a set of variables on the other side.
  • 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 .
  • The above formula is used for simple correlation.
  • Now consider the variables x,y and z we define the multiple correlation as:

Failed to parse (syntax error): {\displaystyle R_{zxy}=\sqrt{\frac{r_{xz}^2+r_{yz}^2-2 r_{xz} r_{yz} r_{xy}}{1-r_{xy}^2}}

  • is the correlation of x and y.
  • is the correlation of y and z.
  • is the correlation of z and x.
  • Here x and y are viewed as the independent variables and z is the dependent variable.
  • This function will give the result as error when

1. are non-numeric or different number of data points. 2.is empty 3.The denominator value is zero. Failed to parse (syntax error): {\displaystyle \sqrt{\frac{r_{xz}^2+r_{yz}^2-2 r_{xz} r_{yz} r_{xy}}{1-r_{xy}^2}}

Examples

See Also

References