Difference between revisions of "Manuals/calci/CORRELATIONDATAANALYSIS"

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==Examples==
 
==Examples==
#CORRELATIONDATAANALYSIS([10,12,13,34,10],"row",1)
+
#CORRELATIONDATAANALYSIS([[56,56,65,65,50,25,87,44,35],[87,91,85,91,75,28,122,66,58]],"rows",1)
 +
{| class="wikitable"
 +
|+Spreadsheet
 +
|-
 +
! CORRELATION BY ROWS
 +
|-
 +
! !! ROW1 !!ROW2
 +
|-
 +
| ROW1 || 1 || 0.9661943464912911
 +
|-
 +
|ROW2 || 0.9661943464912911 || 1
 +
|}
 +
 
 +
 +
1
 +
1
  
 
==See Also==
 
==See Also==

Revision as of 18:29, 13 February 2017

CORRELATIONDATAANALYSIS (Array,GroupBy,NewTableFlag)


  • is the set of numbers
  • is the group name.
  • is either 0 or 1.

Description

  • This function shows the correlation data analysis.
  • The Correlation coeffiecient shows the relationship between two continuous variables of each other.
  • In , is the set of numbers .
  • is the group name of correlation and is either "0" or"1".
  • We can use the CORREL function to find the correlation coefficient between two variables.
  • This is also called Pearson's correlation coefficient.
  • It is a measure of the strength of the association between the two variables.
  • The correlation coefficient should not be calculated if the relationship is not linear.
  • Positive correlation indicates that both variables increase or decrease together, whereas negative correlation indicates that as one variable increases, so the other decreases, and vice versa.

Examples

  1. CORRELATIONDATAANALYSIS([[56,56,65,65,50,25,87,44,35],[87,91,85,91,75,28,122,66,58]],"rows",1)
Spreadsheet
CORRELATION BY ROWS
ROW1 ROW2
ROW1 1 0.9661943464912911
ROW2 0.9661943464912911 1


1 1

See Also

References

Correlation Data Analysis