Difference between revisions of "Manuals/calci/CORRELATIONDATAANALYSIS"

From ZCubes Wiki
Jump to navigation Jump to search
(Created page with "==CORRE")
 
Line 1: Line 1:
==CORRE
+
<div style="font-size:30px">'''CORRELATIONDATAANALYSIS (Array,GroupBy,NewTableFlag)'''</div><br/>
 +
*<math>Array</math> is the set of numbers
 +
*<math>GroupBy</math> is the group name.
 +
*<math>NewTableFlag</math> 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 <math>CORRELATIONDATAANALYSIS(Array,GroupBy,NewTableFlag)</math>,<math> Array</math> is the set of numbers .
 +
*<math>Groupby</math> is the group name of correlation and <math>New table flag</math> 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==
 +
#CORRELATIONDATAANALYSIS([10,12,13,34,10],"row",
 +
 
 +
==See Also==
 +
*[[Manuals/calci/CORREL | CORREL]]
 +
*[[Manuals/calci/FACT | FACT]]
 +
 
 +
==References==
 +
[http://learntech.uwe.ac.uk/da/Default.aspx?pageid=1442 Correlation Data Analysis]

Revision as of 15:00, 13 December 2016

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([10,12,13,34,10],"row",

See Also

References

Correlation Data Analysis