Difference between revisions of "Manuals/calci/CORRELATIONDATAANALYSIS"

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==CORRE
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<div style="font-size:30px">'''CORRELATIONDATAANALYSIS (Array,GroupBy,NewTableFlag)'''</div><br/>
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*<math>Array</math> is the set of numbers
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*<math>GroupBy</math> is the group name.
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*<math>NewTableFlag</math> is either 0 or 1.
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==Description==
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*This function shows the correlation data analysis.
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*The Correlation coeffiecient shows the relationship between two continuous variables of each other.
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*In <math>CORRELATIONDATAANALYSIS(Array,GroupBy,NewTableFlag)</math>,<math> Array</math> is the set of numbers .
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*<math>Groupby</math> is the group name of correlation and <math>New table flag</math> is either "0" or"1".
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*We can use the CORREL function to find the correlation coefficient between two variables.
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*This is also called Pearson's correlation coefficient.
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*It is a measure of the strength of the association between the two variables.
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*The correlation coefficient should not be calculated if the relationship is not linear.
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*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.
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==Examples==
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#CORRELATIONDATAANALYSIS([10,12,13,34,10],"row",
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==See Also==
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*[[Manuals/calci/CORREL | CORREL]]
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*[[Manuals/calci/FACT | FACT]]
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==References==
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[http://learntech.uwe.ac.uk/da/Default.aspx?pageid=1442 Correlation Data Analysis]

Revision as of 16:00, 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