Updated on March 16, 2024

The term 'correlation' becomes especially nuanced when paired with specific adjectives, revealing the depth of the relationship between two variables. A 'positive correlation' suggests a synchronous increase, while a 'negative correlation' indicates an inverse relationship. The strength of this relationship is often described as 'high' or 'strong', hinting at the tightness of the correlation. Conversely, a 'significant correlation' brings attention to its statistical importance, potentially implying causation, not just association. Using 'good' to describe correlation delves into the realm of judgment, suggesting an advantageous or desired connection. Each of these adjectives provides a unique lens through which to understand the dynamics at play. Explore the full range of adjectives used with 'correlation' to truly grasp the complexity of this statistical term.

positive | The positive correlation between exercise and health is well-documented. |

significant | There was a significant correlation between age and income. |

negative | There is a negative correlation between the amount of sleep a person gets and their likelihood of developing a cold. |

high | There is a high correlation between smoking and lung cancer. |

strong | There is a strong correlation between smoking and lung cancer. |

good | There is a good correlation between exercise and health. |

direct | There is a direct correlation between the amount of time spent studying and the grades achieved. |

close | There is a close correlation between exercise and longevity. |

multiple | Multiple correlation is a measure of the strength of the relationship between a dependent variable and two or more independent variables. |

partial | The partial correlation between variables X and Y controlling for Z was significant. |

perfect | Strong coffee and low blood pressure show perfect correlation |

serial | The model is not suitable for this data set due to high serial correlation |

low | There is a low correlation between the number of hours worked and the level of productivity. |

linear | The linear correlation between the two variables is 0.85. |

cross |

simple | The simple correlation between two variables measures the strength and direction of their linear relationship. |

clear | There is a clear correlation between sleep deprivation and impaired cognitive function. |

clinical | The clinical correlation between the patient's symptoms and the diagnosis was clear. |

average | The average correlation between the two variables was 0.5. |

poor | The results of the two studies showed poor correlation |

highest | The highest correlation was found between the variables X and Y. |

pathologic | Pathologic correlation studies provide valuable insights into the relationship between imaging findings and underlying disease processes. |

spatial | The temperature readings of neighboring weather stations usually show high spatial correlation |

statistical | A statistical correlation was found between the two variables. |

definite | There is a definite correlation between frequent exercise and good health. |

possible | There is a possible correlation between the two events. |

higher | |

excellent | The data showed excellent correlation between the two variables. |

weak | The study found a weak correlation between the two variables. |

order | The order correlation between the two variables was high. |

canonical | Canonical correlation was used to characterize the relationships among the variables of the two data sets. |

observed | |

apparent | The apparent correlation between red cars and accidents may not be causal. |

better | The new data shows better correlation between temperature and precipitation. |

genetic | Genetic correlation was observed between traits related to sleep and circadian rhythm in the genome-wide association study. |

spurious | The spurious correlation between ice cream sales and drowning deaths suggests that eating ice cream causes drowning. |

moment | The moment correlation between the two variables was found to be significant. |

empirical | The empirical correlation between variables X and Y is significant at the 0.05 level. |

angular | The angular correlation of the gamma rays emitted from the decay of 180Ta was measured. |

clinicopathologic | "Clinicopathologic correlation" is when the clinical findings and the pathology report are in agreement. |

rough | The rough correlation between the two variables is evident in the scatter plot. |

obvious | An obvious correlation existed between the two variables. |

necessary | The necessary correlation between the two variables is evident. |

overall | The overall correlation between the two variables was strong. |

moderate | The variables show a moderate correlation |

mean | The mean correlation between the two variables is 0.8. |

temporal | We observed a strong temporal correlation between the occurrence of seizures and the appearance of specific brainwave patterns. |

consistent | The consistent correlation between the two variables suggests a strong relationship. |

exact | The exact correlation between the two variables was calculated. |

slight | There was a slight correlation between the two variables. |

illusory | I sensed a illusory correlation between the two events, but I couldn't prove it. |

biserial | The result of the study shows that there exists a moderate and significant biserial correlation between the two variables. |

quantitative | There is a quantitative correlation between the number of hours studied and the grades achieved. |

strict | There was a strict correlation between the amount of homework and the student's grades. |

stratigraphic | The stratigraphic correlation of the two sections was based on the presence of a distinctive marker bed. |

substantial | The substantial correlation between the two variables suggests a causal relationship. |

striking | The study found a striking correlation between exercise and improved mood. |

interesting | The study found an interesting correlation between social media use and depression. |

precise | The results showed a precise correlation between the two variables. |

reasonable | There is a reasonable correlation between the two variables. |

squared | The squared correlation between the two variables is 0.98. |

median | The median correlation between the two variables was 0.5. |

maximum | The maximum correlation between two variables indicates a perfect positive or negative linear relationship. |

closer | The investigation revealed a closer correlation between exercise and health benefits. |

stronger | The study found a stronger correlation between ice cream consumption and happiness in the summer months. |

strongest | The strongest correlation was observed between the age and the performance of the athlete. |

retest | The retest correlation was significant. |

marked | There is a marked correlation between the two variables. |

distinct | There is a distinct correlation between academic achievement and socioeconomic status. |

satisfactory | The results showed satisfactory correlation |

pathological | The pathological correlation between the two diseases was striking. |

remarkable | A remarkable correlation was found between the two variables. |

lowest | The sales of mobile device showed the lowest correlation with an increase in the global stock market index. |

systematic | The systematic correlation between the two variables was highly significant. |

bivariate | The bivariate correlation between the two variables was found to be significant. |

modest | There was a modest correlation between test scores and class attendance. |

reliable | There is a reliable correlation between exercise and improved health. |

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