Table of Contents
This guide provides a practical overview of COVARIANCE. S Function - Returns the Covariance Pattern, the Average of, including its main features, benefits, limitations, and important considerations.

Description: Returns the sample covariance, the product of the deviations for each pair of data points in the two data sets
Syntax: COVARIANCE. S (array1, array2)
Inside:
- array1: The first range contains integers that want to calculate the variance, is a required parameter.
- array2: The second range contains the integers that want to calculate the variance, is a required parameter.
Attention:
- The argument must be either a number or a reference array that contains numbers.
- If the reference argument or array contains text or logical values or empty cells will be ignored.
- If array1 and array2 have different data points -> the function returns the # N / A error value
- If 1 of the 2 arrays is empty -> the function returns the # DIV / 0 error value
For example:
Calculate the sample covariance, the average of the product of deviations of each data point pair of the two data sets in the following table:

- In the cell to calculate enter the formula : = COVARIANCE. S (B6: B10, C6: C10)

- Press Enter -> covariance sample, the average of the product of deviations of each data point pair of two data sets is:

- Where the number of pairs of points of 2 arrays is not the same -> the function returns the # N / A error value

Here array2 only contains 3 values from C6: C8
Above are instructions and some specific examples when using the COVARIANCE. S function in Excel.
Good luck!
FAQ
What should I know about COVARIANCE. S Function - Returns the Covariance Pattern, the Average of?
Focus on the key features, requirements, limitations, and practical use cases explained in this guide.
How do I get the best results with COVARIANCE. S Function - Returns the Covariance Pattern, the Average of?
Follow the recommended steps, use current software or information, confirm compatibility, and review settings before major changes.
Are there any risks or limitations?
Potential limitations depend on compatibility, data quality, cost, privacy, support, and how the product or method is used.
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