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Data Applied: Correlation
 

Data Applied: Correlation

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Data Applied: Correlation

Data Applied: Correlation

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    Data Applied: Correlation Data Applied: Correlation Presentation Transcript

    • 5
      Data-Applied.com: Correlation
    • Correlation
      In statistics, correlation and dependence are any of a broad class of statistical relationships between two or more random variables or observed data values
      The most familiar measure of dependence between two quantities is the Pearson product-moment correlation coefficient, or "Pearson's correlation." 
      Data Applied also uses Pearson product-moment correlation coefficient as a measure of correlation
    • Pearson product-moment correlation coefficient
      It is a value between +1 and −1 inclusive
      It is widely used in the sciences as a measure of the strength of linear dependence between two variables
      Pearson's correlation coefficient between two variables is defined as the covariance of the two variables divided by the product of their standard deviations:
    • Calculation
      For a variable Xi where i varies from 1 to N by :
      mean (M)= summation (Xi)/N
      standard deviation (S) = (summation(Xi-M)^2/N)^(1/2)
      Substitute these values and get the correlation
    • Correlation using Data Applied’s web interface
    • Step 1: Selection of data
    • Step 2:Select Correlations
    • Step 3: Result
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