Correlation

Correlation icon

Measure the relationship between two numeric data variables by calculating the correlation coefficient.

Details

The statistical model used to test for the correlation between two variables of a given dataset. The Correlation Coefficient (r) ranges from -1.0 to +1.0. The closer r is to either of these values, the more closely the two variables are related. If r is closer to 0, it means there is little or no relationship between the two variables.

[1] denoted in the output below refers to the test statistic. In this example, r is closer to 1 than it is to 0 signalling a strong correlation.

Output

Parameters

Variable name Required Constraints Description
column1 Yes Column Input.

Integer, Decimal

Numerical variable upon which the test will be computed.
column2 Yes Column Input.

Integer, Decimal

Numerical variable upon which the test will be computed.
use Yes Select from five options How you would like to handle missing data, all.obs assumes no missing data. Select from everything, all.obs, complete.obs, na.or.complete, pairwise.complete.obs.
method Yes Select from two options Specify the type of correlation to calculate. Choose between Pearson and Spearman.

See Also

Updated on February 7, 2019

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