Correlation Matrix Generator

📊 Pearson Correlation Matrix

Pearson's r ranges from −1 to +1. Positive values indicate a positive linear relationship, while negative values indicate a negative linear relationship.

🔎 Correlation Interpretation

📘 How to Interpret Pearson's r

⚠️ Important Research Guidance

• Pearson correlation measures the strength and direction of a linear relationship.
• Correlation does not prove that one variable causes another.
• Extremely small sample sizes should be interpreted cautiously.
• Outliers can substantially affect Pearson's correlation coefficient.
• For non-normally distributed or ordinal data, researchers may consider a non-parametric correlation such as Spearman's rank correlation.