kendall partial rank correlation Antonyms
No Synonyms and anytonyms found
Meaning of kendall partial rank correlation
kendall partial rank correlation (n)
a nonparametric measure of partial correlation
kendall partial rank correlation Sentence Examples
- The Kendall partial rank correlation coefficient measures the strength and direction of a relationship between two variables while controlling for the effect of a third variable.
- Kendall partial rank correlation is a non-parametric measure of association, meaning it does not assume that the data is normally distributed.
- Kendall partial rank correlation is often used to analyze ordinal data, which is data that can be ranked in order but does not have equal intervals between the ranks.
- The Kendall partial rank correlation coefficient ranges from -1 to 1, with -1 indicating a perfect negative relationship, 0 indicating no relationship, and 1 indicating a perfect positive relationship.
- A positive Kendall partial rank correlation coefficient indicates that as the value of one variable increases, the value of the other variable also tends to increase.
- A negative Kendall partial rank correlation coefficient indicates that as the value of one variable increases, the value of the other variable tends to decrease.
- The strength of the Kendall partial rank correlation coefficient is determined by the magnitude of the coefficient, with a coefficient close to 0 indicating a weak relationship and a coefficient close to 1 or -1 indicating a strong relationship.
- The significance of the Kendall partial rank correlation coefficient is determined by a statistical test, which tests the null hypothesis that there is no relationship between the two variables.
- Kendall partial rank correlation can be used to explore the relationship between two variables while controlling for the effect of one or more other variables.
- Kendall partial rank correlation is a useful tool for analyzing data in a variety of research settings.
FAQs About the word kendall partial rank correlation
a nonparametric measure of partial correlation
No synonyms found.
No antonyms found.
The Kendall partial rank correlation coefficient measures the strength and direction of a relationship between two variables while controlling for the effect of a third variable.
Kendall partial rank correlation is a non-parametric measure of association, meaning it does not assume that the data is normally distributed.
Kendall partial rank correlation is often used to analyze ordinal data, which is data that can be ranked in order but does not have equal intervals between the ranks.
The Kendall partial rank correlation coefficient ranges from -1 to 1, with -1 indicating a perfect negative relationship, 0 indicating no relationship, and 1 indicating a perfect positive relationship.
