User's guide to correlation coefficients
www.ncbi.nlm.nih.gov › pmc › articlesAug 07, 2018 · A statistically significant correlation does not necessarily mean that the strength of the correlation is strong. The p-value shows the probability that this strength may occur by chance. In the dataset shown in Fig. 1, the correlation coefficient of systolic and diastolic blood pressures was 0.64, with a p-value of less than 0.0001. This r of 0.64 is moderate to strong correlation with a very high statistical significance (p < 0.0001).
5.2 - Correlation & Significance | STAT 100
online.stat.psu.edu › stat100 › lessonThe range of possible values for a correlation is between -1 to +1. A positive correlation indicates a positive linear association like the one in example 5.8. The strength of the positive linear association increases as the correlation becomes closer to +1. A negative correlation indicates a negative linear association. The strength of the negative linear association increases as the correlation becomes closer to -1.
INTERPRETING CORRELATION TABLES
home.csulb.edu › ~hmarlowe › SOC455SPSS correlation table cells always contain at least 3 pieces of information: 1. The size of the correlation (the "r" statistic), which has a range between -1 (perfect negative correlation) and 1 (perfect positive correlation). If the correlation is "statistically significant" SPSS also flags this number with either a