To calculate a correlation matrix, you can use the following steps:
- Prepare your data. The data should be in a tabular format, with each column representing a variable and each row representing an observation.
- Calculate the correlation coefficient between each pair of variables. There are different types of correlation coefficients, but the most common one is the Pearson correlation coefficient. The Pearson correlation coefficient measures the linear relationship between two variables and ranges from -1 to 1. A correlation coefficient of 1 indicates a perfect positive correlation, a correlation coefficient of -1 indicates a perfect negative correlation, and a correlation coefficient of 0 indicates no correlation.
- Arrange the correlation coefficients in a matrix. The correlation matrix will be a square matrix, with the correlation coefficient between each pair of variables on the corresponding row and column.
This calculator creates a correlation matrix for up to five different variables.
Simply enter the data values for up to five variables into the boxes below, then press the “Calculate” button.
Variable 1
Variable 2
Variable 3
Variable 4
Variable 5
Correlation Matrix
| Var1 | Var2 | Var3 | Var4 | Var5 | |
|---|---|---|---|---|---|
| Var1 | 1.0000 | ||||
| Var2 | 0.8476 | 1.0000 | |||
| Var3 | 0.9378 | 0.9305 | 1.0000 | ||
| Var4 | |||||
| Var5 |