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 and then Correlation:


3. Evaluate the Correlation Results:

Two variables can be positively correlated (more of one means more of another) or negatively correlated (more of one means less of another). In this case, Systolic vs systolic is 1 (perfectly correlated). Systolic vs Weight is 0.804464 (a strong positive correlation). If the correlation is greater than 0.80 (or less than -0.80), there is a strong relationship.

Correlation Results will always be between -1 and 1

1 = Positive Correlation
-1 = Negative Correlation
0 = No Correlation

Regression Analysis

If you'd like more information, run regression analysis on the data. Correlation is the "Multiple R" in the results. Excel will also calculate a p value for the null hypothesis (H0 = no correlation.)

Why Choose QI Macros Statistical Software for Excel?



  • Only $299 USD - less with quantity discounts
  • No annual fees
  • Free Technical Support

easy to use

Easy to Use

  • Works Right in Excel
  • Interprets Results for You
  • Accurate Results Without Worry

proven and trusted

Proven and Trusted

  • 100,000 Users in 80 Countries
  • Celebrating 20th Anniversary
  • Five Star CNET Rating - Virus Free