# What Does A Correlation Coefficient Of 0.04 Mean?

## What does a correlation coefficient of 0.04 mean?

A linear correlation coefficient of approximately 0.04 indicates no significant linear correlation. The coefficient of determination of 0.0016 suggests that perhaps 0.16% (virtually none) of the variability in player results depends on age.

## What does a correlation coefficient of 0.40 mean?

For example, a correlation coefficient of 0.65 could be interpreted as a “good” or “moderate” correlation, depending on the rule of thumb applied. It is also quite strange to suggest that a correlation coefficient of 0.39 represents a “weak” association and 0.40 a “moderate” association.

## Is 0.40 a strong correlation?

However, a correlation coefficient with an absolute value of 0.9 or greater would represent a very strong relationship. You can now classify any value of the correlation coefficient as strong positive (1 to 0.5), weak positive (0.49 to 0.1), strong negative (0.5 to 1), and weak negative (0.1 to 1). 0.49).

## Is 0.4 a weak positive correlation?

Generally, a correlation greater than 0.75 is considered a “strong” correlation between the two variables.

## Is a correlation coefficient of 0.4 strong?

In such studies, we rarely see correlations greater than 0.6. For this type of data, we generally view correlations above 0.4 as relatively strong, correlations between 0.2 and 0.4 as moderate, and correlations below 0.2 as weak.

## What does a correlation of 0.04 mean?

A linear correlation coefficient of approximately 0.04 indicates no significant linear correlation. The coefficient of determination of 0.0016 suggests that perhaps 0.16% (virtually none) of the variability in player results depends on age.

## Is a correlation coefficient of 0.75 strong?

Generally, a correlation greater than 0.75 is considered a “strong” correlation between the two variables.

## Is 0.48 a strong correlation?

The following graph (below) shows a correlation of approximately 0.48. This is only slightly higher than the correlation between income and education in the United States. This means that people with higher levels of education earn more on average. The graph below shows a much stronger correlation (r = 0.72).

## Is 0.4 a strong correlation?

This means that the data shows a positive correlation. … In general, an r value greater than 0.7 is considered a strong correlation. Any value between 0.5 and 0.7 is a moderate correlation, and any value less than 0.4 is considered weak or no correlation.

## What does a correlation of 0.40 mean?

1. Also the correlation coefficient r =. 50 shows a degree of relationship greater than r =. 40. Therefore, a correlation coefficient of zero (r = 0.0) indicates no linear relationship, while correlation coefficients r = + 1.0 and r = 1.0 indicate a perfect linear relationship.

## Is 0.30 a strong correlation?

High degree: If the value of the coefficient is between ±0.50 and ±1, it is called a strong correlation. Medium degree: if the value is between ± 0.30 and ± 0.49 we speak of medium correlation. Low degree: when the value is less than +. 29 then we say that this is a small correlation.

## Is 0.79 a strong correlation?

The correlation of +0.10 is weaker than 0.74 and the correlation of 0.98 is stronger than +0.79. When thinking about correlation, keep this rule of thumb in mind: the closer the correlation is to 0, the weaker it is, and the closer it is to +/1, the stronger it is.

## 0.4 – strong or weak correlation?

A weak positive correlation indicates that the relationship is not very strong, although the two variables tend to increase in response to each other. On the other hand, a strong negative correlation indicates a strong relationship between two variables, but one of them increases every time the other decreases. fourteen

## What is considered a weak positive correlation?

Positive correlation is measured on a scale of 0.1 to 1.0. A weak positive correlation will range from 0.1 to 0.3, a moderate positive correlation from 0.3 to 0.5, and a strong positive correlation from 0.5 to 1.0. The stronger the positive correlation, the more likely stocks are to move in the same direction.

## Is 0.5 a weak positive correlation?

Correlation coefficient = 0.8: a sufficiently strong positive relationship. Correlation coefficient = 0.6: moderately positive relationship. Correlation coefficient = 0: no relationship. As one value increases, the other value tends not to change in any particular direction.

## Is the correlation of 0.75 strong?

Conclusion: In general, a correlation greater than 0.75 is considered a “strong” correlation between the two variables.

## Is a correlation coefficient of 0.7 strong?

The correlation coefficient measures the strength of this relationship. To calculate the Pearson correlation coefficient, it must be assumed that the relationship between the two variables is linear. An association between two variables is generally considered strong if its r-value is greater than 0.7.

## Is 0.75 a correlation coefficient?

Values ​​of r ranging from 0.50 to 0.75 or 0.50 to 0.75 indicate moderate to good correlation, and values ​​of r ranging from 0.75 to 1 or 0.75 to 1 indicate a very good to excellent correlation between the variables (1).

## Why is 0.7 a strong correlation?

We can tell when the correlation is high because the data points are close to the line of best fit (red). In general, an r value greater than 0.7 is considered a strong correlation. Any value between 0.5 and 0.7 is moderately correlated, and anything less than 0.4 is considered weak or no correlation.