The assumption underlying correlation analysis is that the variables involved are intervally scaled.

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Correlation analysis is based on the assumption that the variables being analyzed are measured on an interval scale, which is a numeric scale with equal distances between each value. This allows for meaningful calculations of correlation coefficients, such as Pearson's correlation coefficient. If the variables are not measured on an interval scale, other methods of analysis may be required.

The Assumption Underlying Correlation Analysis Is That the Variables Involved