Covariance Calculator

Calculate covariance to measure how two variables change together. Analyze the direction and magnitude of relationships between paired measurements.

Input data

Covariance analysis results

Covariance:

4222222.2222

Sample size:

Mean of Advertising Spend ($):

2550.0000

Mean of Sales Revenue ($):

8500.0000

Statistical interpretation:

Direction:Positive covariance (variables tend to move in the same direction)

Covariance measures how two variables change together, but its magnitude depends on the scales of the variables. For a scale-independent measure of relationship strength, consider using the correlation coefficient.

Scatter plot

Parameters

First variable (X)# numeric*

Selected: Advertising Spend ($)

Second variable (Y)# numeric*

Selected: Sales Revenue ($)

Covariance analysis results

Covariance:

4222222.2222

Sample size:

Mean of Advertising Spend ($):

2550.0000

Mean of Sales Revenue ($):

8500.0000

Statistical interpretation:

Direction:Positive covariance (variables tend to move in the same direction)

Scatter plot

How to Use the Covariance Calculator

Enter paired data values for two variables
Select the first (X) and second (Y) variables
View the covariance value and means
Interpret the direction of the relationship
Visualize the relationship in the scatter plot

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by @scottpaulin