KnowraPearson correlation coefficientLinked fromLinked fromThe 11 pages that link to Pearson correlation coefficient, each with the reason it gives.All 11Broader topic 5Related 2Narrower topic 1Compared with 3Cauchy–Schwarz inequalityRelated: Its range follows by applying the inequality to centered observations.CorrelationBroader topic: It is the standard coefficient when both variables are quantitative and their relationship is approximately linear.Effect sizeBroader topic: It serves as an effect size for linear association.Karl PearsonBroader topic: Pearson introduced this measure, now among the most widely used statistics.Student's t-distributionRelated: Testing whether population correlation is zero can be reduced to a t-statistic.Cosine similarityCompared with: Centering distinguishes correlation from cosine similarity on the original vectors.AutocorrelationNarrower topic: Autocorrelation applies correlation to a series and a lagged copy of itself.Reliability (measurement)Compared with: Correlation measures association, not necessarily agreement or interchangeable scores.Coefficient of determinationCompared with: In simple linear regression with an intercept, R² is its square, but this relation does not generalize unchanged.Correlation coefficientBroader topic: It is the standard coefficient when the target is linear association between numerical variables.Correlation function measurementBroader topic: At zero lag, this coefficient is the simplest estimate of pairwise co-variation.