A **correlation greater than 0.8 is generally described as strong**, whereas a correlation less than 0.5 is generally described as weak. These values can vary based upon the “type” of data being examined. A study utilizing ‘core’ scientific data may require a stronger correlation than a study using social science data.

Contents

- 1 What is a good Pearson correlation value?
- 2 Is 0.24 A strong correlation?
- 3 Is.40 a strong correlation?
- 4 Is a correlation of 50 good?
- 5 What does Pearson’s r tell us?
- 6 Is 0.2 A strong correlation?
- 7 What does a correlation of 0.75 mean?
- 8 What does an r2 value of 0.9 mean?
- 9 Can a correlation be greater than 1?
- 10 What is a strong or weak correlation?
- 11 What does a correlation of.50 mean?
- 12 Is a correlation of.5 strong?
- 13 Which correlation is stronger R 54 or R =- 54?
- 14 Is 0.01 A strong correlation?
- 15 What does a correlation of 0.1 mean?

## What is a good Pearson correlation value?

The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation.

## Is 0.24 A strong correlation?

Although there are no firm cutoffs for strength, let us say that absolute correlations |r| greater than or equal to 0.7 are ” strong.” Absolute correlations less than 0.3 are “weak.” Absolute correlations between 0.3 and 0.7 are moderate.

## Is.40 a strong correlation?

40, which is certainly larger than the. 08 from the U.S. study, but it’s far from the near-perfect correlation conventional wisdom and warning labels would imply.

## Is a correlation of 50 good?

A correlation coefficient of. 10 is thought to represent a weak or small association; a correlation coefficient of. 30 is considered a moderate correlation; and a correlation coefficient of. 50 or larger is thought to represent a strong or large correlation.

## What does Pearson’s r tell us?

Pearson’s correlation coefficient is the test statistics that measures the statistical relationship, or association, between two continuous variables. It gives information about the magnitude of the association, or correlation, as well as the direction of the relationship.

## Is 0.2 A strong correlation?

There is no rule for determining what size of correlation is considered strong, moderate or weak. For this kind of data, we generally consider correlations above 0.4 to be relatively strong; correlations between 0.2 and 0.4 are moderate, and those below 0.2 are considered weak.

## What does a correlation of 0.75 mean?

r values ranging from 0.50 to 0.75 or -0.50 to -0.75 indicate moderate to good correlation, and r values from 0.75 to 1 or from -0.75 to -1 point to very good to excellent correlation between the variables (1).

## What does an r2 value of 0.9 mean?

Essentially, an R-Squared value of 0.9 would indicate that 90% of the variance of the dependent variable being studied is explained by the variance of the independent variable.

## Can a correlation be greater than 1?

Understanding Correlation The possible range of values for the correlation coefficient is -1.0 to 1.0. In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.

## What is a strong or weak correlation?

The Correlation Coefficient When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables. A correlation of -0.97 is a strong negative correlation while a correlation of 0.10 would be a weak positive correlation.

## What does a correlation of.50 mean?

A correlation coefficient of r=. 50 indicates a stronger degree of linear relationship than one of r=. 40. Likewise a correlation coefficient of r=-. 50 shows a greater degree of relationship than one of r=.

## Is a correlation of.5 strong?

Correlation coefficients whose magnitude are between 0.7 and 0.9 indicate variables which can be considered highly correlated. Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated.

## Which correlation is stronger R 54 or R =- 54?

The strength of the linear relationship is indexed by the distance of the correlation coefficient from zero (its absolute value). For instance, r = –. 54 is a stronger relationship than r=.

## Is 0.01 A strong correlation?

Correlation is significant at the 0.01 level (2-tailed). (This means the value will be considered significant if is between 0.001 to 0,010, See 2^{nd} example below). (This means the value will be considered significant if is between 0.010 to 0,050).

## What does a correlation of 0.1 mean?

While most researchers would probably agree that a coefficient of <0.1 indicates a negligible and >0.9 a very strong relationship, values in-between are disputable. For example, a correlation coefficient of 0.65 could either be interpreted as a “good” or “moderate” correlation, depending on the applied rule of thumb.