first-order correlation Antonyms

No Synonyms and anytonyms found

Meaning of first-order correlation

Wordnet

first-order correlation (n)

a partial correlation in which the effects of only one variable are removed (held constant)

first-order correlation Sentence Examples

  1. In statistics, first-order correlation measures the degree of linear association between two variables.
  2. The first-order correlation coefficient ranges between -1 and 1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation.
  3. A positive first-order correlation coefficient indicates that as one variable increases, the other variable tends to increase as well, while a negative first-order correlation coefficient indicates that as one variable increases, the other variable tends to decrease.
  4. The strength of the first-order correlation is determined by the magnitude of the correlation coefficient.
  5. A first-order correlation coefficient of 0.5 indicates a moderate positive correlation, while a first-order correlation coefficient of -0.3 indicates a moderate negative correlation.
  6. The first-order correlation coefficient is a useful tool for understanding the relationship between two variables, but it is important to note that it does not imply causation.
  7. In time series analysis, the first-order correlation coefficient is used to measure the autocorrelation of a series.
  8. Autocorrelation is the correlation between a series and its own lagged values.
  9. A positive autocorrelation coefficient indicates that the series is positively correlated with its own past values, while a negative autocorrelation coefficient indicates that the series is negatively correlated with its own past values.
  10. The first-order correlation coefficient is a simple but powerful tool for understanding the relationship between two variables.

FAQs About the word first-order correlation

a partial correlation in which the effects of only one variable are removed (held constant)

No synonyms found.

No antonyms found.

In statistics, first-order correlation measures the degree of linear association between two variables.

The first-order correlation coefficient ranges between -1 and 1, where -1 indicates a perfect negative correlation, 0 indicates no correlation, and 1 indicates a perfect positive correlation.

A positive first-order correlation coefficient indicates that as one variable increases, the other variable tends to increase as well, while a negative first-order correlation coefficient indicates that as one variable increases, the other variable tends to decrease.

The strength of the first-order correlation is determined by the magnitude of the correlation coefficient.