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  • Working with Tables
  • While there are four types of database objects in Access, tables are arguably the most ... read more

    Sunday, 9 July 2017

    Correlation

    The correlation coefficient (a value between -1 and +1) tells you how strongly two variables are related to each other. We can use the CORREL function or the Analysis Toolpak add-in in Excel to find the correlation coefficient between two variables.

    - A correlation coefficient of +1 indicates a perfect positive correlation. As variable X increases, variable Y increases. As variable X decreases, variable Y decreases.



    - A correlation coefficient of -1 indicates a perfect negative correlation. As variable X increases, variable Z decreases. As variable X decreases, variable Z increases.



    - A correlation coefficient near 0 indicates no correlation.

    To use the Analysis Toolpak add-in in Excel to quickly generate correlation coefficients between multiple variables, execute the following steps.

    1. On the Data tab, in the Analysis group, click Data Analysis.



    Note: can't find the Data Analysis button? Click here to load the Analysis ToolPak add-in.

    2. Select Correlation and click OK.



    3. For example, select the range A1:C6 as the Input Range.



    4. Check Labels in first row.

    5. Select cell A8 as the Output Range.

    6. Click OK.



    Result.



    Conclusion: variables A and C are positively correlated (0.91). Variables A and B are not correlated (0.19). Variables B and C are also not correlated (0.11) . You can verify these conclusions by looking at the graph..