Skip to content

Home / Statistical Tools / Analysis Tools / Correlation and Covariance / Options

Options

The three analyses share one dialog ("Correlation"). Which statistic you get is decided by the ribbon entry you launch, not by a dialog setting:

Ribbon entry Statistic Worksheet
Pearson's Correlation (Normal) Pearson correlation matrix with p-values Correlation
Spearman's Correlation (Non-normal) Spearman rank correlation matrix with p-values SpearmanCorrelation
Covariance Covariance matrix (no p-values) Covariance

Data Tab

  • Data Types: a per-column dropdown to reclassify any column if it was detected wrong
  • Data Columns (select at least 2): the columns to correlate. Numeric columns only (Continuous, Integer, Count); all eligible columns start selected. Selecting fewer than two shows "Please select at least 2 data columns for correlation analysis."

There is no GroupBy, frequency column, or overlay option for these analyses, and no task pane afterward.

How the data is aligned

All selected columns are trimmed to the length of the shortest column before computing, so values are paired row by row. At least two rows are required.

Reading the output

  • With exactly two columns, a compact table shows the coefficient and its p-value. With more columns, a full matrix shows a p-value row and a coefficient row per variable, with one cell per pairing.
  • p-values below 0.05 are shown in bold red. Values that cannot be computed show "NA".
  • The covariance matrix includes the diagonal, which is each variable's own variance (the sheet notes this).

The formulas, including the t-test behind the p-values, are on Math Details.

See Also