Formulas and Functions Help
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COVAR
The COVAR function returns the covariance of two sets of number values.
COVAR(sample-1-values, sample-2-values)
sample-1-values: The collection containing the first set of sample values.
sample-2-values: The collection containing the second set of sample values.
Notes
The two collections must have the same dimensions.
If string values or boolean values are included within the collections, they are ignored.
If the two collections are identical, the covariance is the same as the population variance.
Example |
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Suppose that you kept a record of the periodic changes in the price you paid for each delivery of heating oil and also the average temperature setting of your thermostat during the period covered by the specified price. Given the following table: |
A | B | |
|---|---|---|
1 | Price | Setting |
2 | 4.50 | 64 |
3 | 4.20 | 65 |
4 | 3.91 | 65 |
5 | 3.22 | 66 |
6 | 3.09 | 66 |
7 | 3.15 | 66 |
8 | 2.98 | 68 |
9 | 2.56 | 70 |
10 | 2.60 | 70 |
11 | 2.20 | 72 |
=COVAR(A2:A11,B2:B11) returns approximately -1.6202, indicating a correlation (as prices rose, the thermostat was lowered). Covariance is a measure of how much two variables (in this case, the price of heating oil and the setting of the thermostat) change together. |
Example — Survey results |
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To see an example of this and several other statistical functions applied to the results of a survey, see the COUNTIF function. |