# Viewing the correlation coefficient between two numeric columns

Two kinds of coefficients can describe the correlation between two columns:

- The Pearson product-moment correlation coefficient describes the linear dependence between two columns.
- Spearman’s rank correlation coefficient describes the nonparametric dependence between two columns.

Each correlation coefficient can take values between -1 and 1. To view the correlation coefficient between two numeric columns:

1. In the Summary view, select one of the columns of interest
2. Right-click the header of the covariate table and ensure that Correlation is checked
3. The selected column’s correlation coefficient with every other column will appear in the covariate table on the right

If the column in the covariate table is a category column, the rank correlation will be displayed; otherwise, the product-moment correlation will appear. Each correlation coefficient will appear in black if it is statistically significant at the current confidence level; if it is not statistically significant, it will appear in gray.

See also:

- Viewing the coefficient of determination between two numeric columns
- Viewing a scatterplot of two numeric columns
- Viewing the best-fit line on a scatterplot
- Formatting descriptive and inferential statistics
- About the Summary view

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