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coefficient of linear correlation

См. также в других словарях:

  • Correlation and dependence — This article is about correlation and dependence in statistical data. For other uses, see correlation (disambiguation). In statistics, dependence refers to any statistical relationship between two random variables or two sets of data. Correlation …   Wikipedia

  • Correlation — In probability theory and statistics, correlation, (often measured as a correlation coefficient), indicates the strength and direction of a linear relationship between two random variables. In general statistical usage, correlation or co relation …   Wikipedia

  • Correlation ratio — In statistics, the correlation ratio is a measure of the relationship between the statistical dispersion within individual categories and the dispersion across the whole population or sample. The measure is defined as the ratio of two standard… …   Wikipedia

  • correlation — 1. The mutual or reciprocal relation of two or more items or parts. 2. The act of bringing into such a relation. 3. The degree to which variables change together. product moment c. a statistical procedure which yields the c. coefficient referred… …   Medical dictionary

  • correlation coefficient — /kɒrəˌleɪʃən koʊəˈfɪʃənt/ (say koruh.layshuhn kohuh fishuhnt) noun the statistical measure of correlation, called r, having the value +1 for perfect positive linear correlation, 1 for perfect negative linear correlation, and a value of 0 for a… …  

  • Correlation coefficient — may refer to: Pearson product moment correlation coefficient, also known as r, R, or Pearson s r, a measure of the strength of the linear relationship between two variables that is defined in terms of the (sample) covariance of the variables… …   Wikipedia

  • Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… …   Wikipedia

  • Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… …   Wikipedia

  • Linear predictive coding — (LPC) is a tool used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. It is one of the most… …   Wikipedia

  • Coefficient of determination — In statistics, the coefficient of determination R2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. It is the proportion of variability in a data set… …   Wikipedia

  • Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… …   Wikipedia

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