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This function returns the population covariance, which is the average of the products of deviations for each data point pair in two sets of numbers.
COVARIANCE.P(array1, array2)
This function has these arguments:
Argument | Description |
|---|---|
array1 | [Required] The first cell range of integers |
array2 | [Required] The second cell range of integers |
Use this covariance function to determine the relationship between two sets of data. For example, you can determine whether greater income accompanies greater levels of education in a population.
The covariance is calculated as follows, where n and y are the sample means, AVERAGE(array1) and AVERAGE(array2), and n is the sample size.
COVARIANCE.P(J2:J5,L2:L5)
COVARIANCE.P(R2C12:R15C12,R2C14:R15C14)
COVARIANCE.P({7,5,6},{7,4,4}) gives the result 1
COVARIANCE.P({5,10,15,20,25},{4,8,16,32,64}) gives the result 144