query: mean centering leads to perfect correlation?
positive_passages.docid: 27227
positive_passages.text: Does standardising independent variables reduce collinearity?
negative_passages.docid: 133833
negative_passages.text: If $E(Y\mid X)$ is constant then $X, Y$ are uncorrelated.
negative_passages.docid: 135187
negative_passages.text: Significance testing of three or more correlations using Fisher's transformation
negative_passages.docid: 21808
negative_passages.text: Does correlation assume stationarity of data?
negative_passages.docid: 48693
negative_passages.text: Central Moments of Symmetric Distributions
negative_passages.docid: 90879
negative_passages.text: Why correlation is not "transitive"?
negative_passages.docid: 53419
negative_passages.text: Nice presentation of correlation matrix
negative_passages.docid: 4064
negative_passages.text: An equality involving the mean value property
negative_passages.docid: 10
negative_passages.text: Building the connection between cosine similarity and correlation in R
negative_passages.docid: 153393
negative_passages.text: Is there a *simple* example showing that uncorrelated random variables need not be independent?
negative_passages.docid: 50219
negative_passages.text: Centering variables in regression leads to the same model of original variables, why still doing that?
negative_passages.docid: 49896
negative_passages.text: A criterion for independence based on Characteristic function
negative_passages.docid: 6316
negative_passages.text: PCA on correlation or covariance?
negative_passages.docid: 105125
negative_passages.text: If $X, Y$ are jointly standard normal with correlation $r$, and $a, b$ are constants, what is $p(Y < b | X < a)$?
negative_passages.docid: 12004
negative_passages.text: Intuitive reason why jointly normal and uncorrelated imply independence
negative_passages.docid: 41079
negative_passages.text: Analogy of Pearson correlation for 3 variables
negative_passages.docid: 26740
negative_passages.text: Showing that asymptotic normality implies consistency.