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corelation    
n. 相互关系;关连

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  • The meaning of the p-value for a correlation coefficient
    A correlation coefficient is something you estimate using data If you have data on every observation in the population you are trying to generalize about them you don't need to talk about P values The correlation coefficient you estimated is the "true" value End of story But if those data were collected from a random sample, rather than the full population, then your estimate of the
  • Whats the difference between correlation and simple linear regression?
    Note that one perspective on the relationship between regression correlation can be discerned from my answer here: What is the difference between doing linear regression on y with x versus x with y?
  • Methods For Measuring Non-Linear Correlation? - Cross Validated
    I have been learning about standard methods in Statistics such as the Pearson's Correlation Coefficient, Spearman's Correlation and Kendall's Tau My understanding of this so far is that: Pearson
  • How would you explain the difference between correlation and covariance?
    Following up on this question, How would you explain covariance to someone who understands only the mean?, which addresses the issue of explaining covariance to a lay person, brought up a similar
  • What notation (symbol) is used to denote correlation between vectors
    For publication and or presentation purposes, is there a symbol to denote the calculation of a correlation between two vectors? Obviously, for the value of the correlation is symbolically represen
  • Effects of assumption violations for Pearson correlation
    These "assumptions" are mostly not assumptions at all They aren't even ideal conditions What source or sources make these statements? The main task of Pearson correlation is to answer a question: how well can data be summarized by a straight line? Pearson answers that with a number between and and as a bonus indicates by sign, positive or negative, whether the straight line would be rising
  • How can one interpret a heat map plot - Cross Validated
    A heat map is a two-dimensional representation of data in which values are represented by colors Correlation Heat map is a two dimensional plot of the amount of correlation (measure of dependence) between variables represented by colors The varying intensity of color represents the measure of correlation Correlation is a measure of linear relationship between two variables Correlation
  • regression - Why is multicollinearity different than correlation . . .
    According to the Wikipedia encyclopedia In statistics, multicollinearity (also collinearity) is a phenomenon in which one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial degree of accuracy So multicollinearity is a special case of correlation It is more specific in two ways It relates specifically to the predictor variables in a
  • Why zero correlation does not necessarily imply independence
    If two variables have 0 correlation, why are they not necessarily independent? Are zero correlated variables independent under special circumstances ? If possible, I am looking for an intuitive
  • Association, relationship and correlation - Cross Validated
    Are measures of association, relationship and correlation the same? Different textbooks uses those words interchangeably and Im wondering if the they are the simply the same





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