The correlation coefficient is a numerical measure of the strength of the relationship between two random variables. The value of the correlation coefficient varies from -1 to 1. A positive value means that the two variables under consideration have a positive linear relationship (i.e., an increase in one corresponds to an increase in the other) and are said to be positively correlated. A negative value indicates that the variables considered have a negative linear relationship (i.e., an increase in one corresponds to a decrease in the other) and are said to be negatively correlated. The closer the value is to +1 or -1, the stronger the degree of linear dependence.
When there are missing values in your data, the Correlation Coefficient dialog provides the option to delete the cases pairwise or listwise.
To open the Correlation Coefficients dialog box from the menu:
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