Adjectives for Correlation

Adjectives For Correlation

Discover the most popular adjectives for describing correlation, complete with example sentences to guide your usage.

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.
positiveThe positive correlation between exercise and health is well-documented.
significantThere was a significant correlation between age and income.
negativeThere is a negative correlation between the amount of sleep a person gets and their likelihood of developing a cold.
highThere is a high correlation between smoking and lung cancer.
strongThere is a strong correlation between smoking and lung cancer.
goodThere is a good correlation between exercise and health.
directThere is a direct correlation between the amount of time spent studying and the grades achieved.
closeThere is a close correlation between exercise and longevity.
multipleMultiple correlation is a measure of the strength of the relationship between a dependent variable and two or more independent variables.
partialThe partial correlation between variables X and Y controlling for Z was significant.
perfectStrong coffee and low blood pressure show perfect correlation
serialThe model is not suitable for this data set due to high serial correlation
lowThere is a low correlation between the number of hours worked and the level of productivity.
linearThe linear correlation between the two variables is 0.85.
cross
simpleThe simple correlation between two variables measures the strength and direction of their linear relationship.
clearThere is a clear correlation between sleep deprivation and impaired cognitive function.
clinicalThe clinical correlation between the patient's symptoms and the diagnosis was clear.
averageThe average correlation between the two variables was 0.5.
poorThe results of the two studies showed poor correlation
highestThe highest correlation was found between the variables X and Y.
pathologicPathologic correlation studies provide valuable insights into the relationship between imaging findings and underlying disease processes.
spatialThe temperature readings of neighboring weather stations usually show high spatial correlation
statisticalA statistical correlation was found between the two variables.
definiteThere is a definite correlation between frequent exercise and good health.
possibleThere is a possible correlation between the two events.
higher
excellentThe data showed excellent correlation between the two variables.
weakThe study found a weak correlation between the two variables.
orderThe order correlation between the two variables was high.
canonicalCanonical correlation was used to characterize the relationships among the variables of the two data sets.
observed
apparentThe apparent correlation between red cars and accidents may not be causal.
betterThe new data shows better correlation between temperature and precipitation.
geneticGenetic correlation was observed between traits related to sleep and circadian rhythm in the genome-wide association study.
spuriousThe spurious correlation between ice cream sales and drowning deaths suggests that eating ice cream causes drowning.
momentThe moment correlation between the two variables was found to be significant.
empiricalThe empirical correlation between variables X and Y is significant at the 0.05 level.
angularThe 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.
roughThe rough correlation between the two variables is evident in the scatter plot.
obviousAn obvious correlation existed between the two variables.
necessaryThe necessary correlation between the two variables is evident.
overallThe overall correlation between the two variables was strong.
moderateThe variables show a moderate correlation
meanThe mean correlation between the two variables is 0.8.
temporalWe observed a strong temporal correlation between the occurrence of seizures and the appearance of specific brainwave patterns.
consistentThe consistent correlation between the two variables suggests a strong relationship.
exactThe exact correlation between the two variables was calculated.
slightThere was a slight correlation between the two variables.
illusoryI sensed a illusory correlation between the two events, but I couldn't prove it.
biserialThe result of the study shows that there exists a moderate and significant biserial correlation between the two variables.
quantitativeThere is a quantitative correlation between the number of hours studied and the grades achieved.
strictThere was a strict correlation between the amount of homework and the student's grades.
stratigraphicThe stratigraphic correlation of the two sections was based on the presence of a distinctive marker bed.
substantialThe substantial correlation between the two variables suggests a causal relationship.
strikingThe study found a striking correlation between exercise and improved mood.
interestingThe study found an interesting correlation between social media use and depression.
preciseThe results showed a precise correlation between the two variables.
reasonableThere is a reasonable correlation between the two variables.
squaredThe squared correlation between the two variables is 0.98.
medianThe median correlation between the two variables was 0.5.
maximumThe maximum correlation between two variables indicates a perfect positive or negative linear relationship.
closerThe investigation revealed a closer correlation between exercise and health benefits.
strongerThe study found a stronger correlation between ice cream consumption and happiness in the summer months.
strongestThe strongest correlation was observed between the age and the performance of the athlete.
retestThe retest correlation was significant.
markedThere is a marked correlation between the two variables.
distinctThere is a distinct correlation between academic achievement and socioeconomic status.
satisfactoryThe results showed satisfactory correlation
pathologicalThe pathological correlation between the two diseases was striking.
remarkableA remarkable correlation was found between the two variables.
lowestThe sales of mobile device showed the lowest correlation with an increase in the global stock market index.
systematicThe systematic correlation between the two variables was highly significant.
bivariateThe bivariate correlation between the two variables was found to be significant.
modestThere was a modest correlation between test scores and class attendance.
reliableThere is a reliable correlation between exercise and improved health.

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