WordNet Search - 3.1

Key: "S:" = Show Synset (semantic) relations, "W:" = Show Word (lexical) relations

Display options for sense: (gloss) "an example sentence"

- S: (n) correlation coefficient,
**coefficient of correlation**, correlation (a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation))*"what is the correlation between those two variables?"* *direct hyponym*/*full hyponym*- S: (n) product-moment correlation coefficient, Pearson product-moment correlation coefficient (the most commonly used method of computing a correlation coefficient between variables that are linearly related)
- S: (n) multiple correlation coefficient (an estimate of the combined influence of two or more variables on the observed (dependent) variable)
- S: (n) biserial correlation coefficient, biserial correlation (a correlation coefficient in which one variable is many-valued and the other is dichotomous)
- S: (n) split-half correlation, chance-half correlation (a correlation coefficient calculated between scores on two halves of a test; taken as an indication of the reliability of the test)
- S: (n) tetrachoric correlation coefficient, tetrachoric correlation (a correlation coefficient computed for two normally distributed variables that are both expressed as a dichotomy)
*domain category**direct hypernym*/*inherited hypernym*/**sister term**- S: (n) parametric statistic (any statistic computed by procedures that assume the data were drawn from a particular distribution)
- S: (n) regression coefficient (when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line)
- S: (n) correlation coefficient,
**coefficient of correlation**, correlation (a statistic representing how closely two variables co-vary; it can vary from -1 (perfect negative correlation) through 0 (no correlation) to +1 (perfect positive correlation))*"what is the correlation between those two variables?"* *derivationally related form*