weak correlation vs discrete correlation

The phrases 'weak correlation' and 'discrete correlation' are not directly comparable as they convey different meanings. 'Weak correlation' refers to a low degree of association between two variables, while 'discrete correlation' does not have a standard meaning in statistics. It's important to use 'weak correlation' when describing a relationship between variables with a low level of correlation.

Last updated: March 31, 2024 • 559 views

weak correlation

This phrase is correct and commonly used in statistics to describe a low degree of association between two variables.

Use 'weak correlation' when referring to a situation where two variables have a low level of correlation, meaning that changes in one variable are not strongly related to changes in the other.

Examples:

There is a weak correlation between study time and exam scores.
The weak correlation between temperature and sales indicates a limited relationship.
The data shows a weak correlation between income and happiness.

Alternatives:

low correlation
minimal correlation
negligible correlation
insignificant correlation
poor correlation

discrete correlation

This phrase is not a standard term in statistics. It does not convey a clear meaning related to correlation between variables.

Avoid using 'discrete correlation' as it may lead to confusion due to the lack of a defined meaning in statistical contexts.

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weak correlation vs discrete correlation