Data Interrelationship

Step 1: Select Data Source

You need to specify the data source for your analysis: Main dataset, or any created subset.

Step 2: Select Variables

Now, choose the variables you want to analyze for correlation.

• In the Variable Selection panel, check the boxes next to the variables you wish to include in your correlation analysis.

Step 3: Set Heatmap Options

Customize how you want your correlation heatmap to appear.

• Choose your desired colormap
• Determine whether to show values and grids, and set the preferred font size.

Step 4: Analyze

Finally, initiate the correlation analysis.

• Click the "Analyze" button to compute the correlations.
• View the resulting heatmap in the right panel.

Step 5: View Correlation Results

After analysis, your correlation results will be displayed. You can also switch between different types of correlation.

• Click on the tabs at the top right of the heatmap to toggle between Pearson, Spearman, and Kendall correlations.

Step 6: Summary of Correlation Analysis

Refer to the summary of the correlation analysis to interpret the highest correlation coefficients for each variable.

• The highest correlation coefficients for each variable are displayed.
• The last column shows the Variance Inflation Factor (VIF).
• Variables will be highlighted in yellow if the VIF value is considered high (>10), indicating potential multicollinearity.