What is Correlation?
How to Conduct Correlation Analysis in Excel
Imagine that you'd like to know if a person's weight is related to their systolic blood pressure. Does it increase or decrease with weight?
To understand and explore the linear relationships between two or more sets of numbers, Excel provides tools to analyze the variance (i.e., covariance) and relationships (i.e., co-relation) between two or more sets of numbers.
Here is an example of correlation analysis in Excel using QI Macros add-in.
1. Select the data
Select two or more columns of data:
2. Click on QI Macros, Statistical Tools, Regression and Other Statistics and then Correlation:
3. Evaluate the Correlation Results:
Correlation Results will always be between -1 and 1.
- -1 to < 0 = Negative Correlation (more of one means less of another)
- 0 = No Correlation
- > 0 to 1 = Positive Correlation (more of one means more of another)
If the correlation is greater than 0.80 (or less than -0.80), there is a strong relationship.
In this example:
- Sample 1 and Sample 2 have a positive correlation (.414)
- Sample 1 and Sample 3 have a negative correlation (-.07)
- Sample 2 and Sample 3 have a negative correlation (-.608)
If you'd like more information, run regression analysis on the data. Correlation is the "Multiple R" in the results.
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