Is 0.45 A strong correlation?

For example, with demographic data, we we generally consider correlations above 0.75 to be relatively strong; correlations between 0.45 and 0.75 are moderate, and those below 0.45 are considered weak.

Is 0.40 A strong correlation?

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. It is also quite capricious to claim that a correlation coefficient of 0.39 represents a “weak” association, whereas 0.40 is a “moderate” association.

Is 0.42 A strong correlation?

Generally, a value of r greater than 0.7 is considered a strong correlation. Anything between 0.5 and 0.7 is a moderate correlation, and anything less than 0.4 is considered a weak or no correlation.

Is 0.48 A strong correlation?

For a natural/social/economics science student, a correlation coefficient higher than 0.6 is enough. Correlation coefficient values below 0.3 are considered to be weak; 0.3-0.7 are moderate; >0.7 are strong.

What does a correlation of 0.45 mean?

For example, with demographic data, we we generally consider correlations above 0.75 to be relatively strong; correlations between 0.45 and 0.75 are moderate, and those below 0.45 are considered weak.

Strong and Weak Correlation

What does a correlation of 0.42 mean?

This a positive correlation of fairly low strength. For strength and age, r = –0.42. This is a negative correlation of fairly low strength. Figure 5 shows the correlations between several simulated variables. Each pair of variables was generated to have the correlation shown above it.

What does a correlation of 0.50 mean?

No linear relationship\r\n\r\n \t\r\n+0.30. A weak uphill (positive) linear relationship\r\n\r\n \t\r\n+0.50. A moderate uphill (positive) relationship\r\n\r\n \t\r\n+0.70. A strong uphill (positive) linear relationship\r\n\r\n \t\r\nExactly +1.

Is 0.67 A strong correlation?

Correlation Coefficient = 0.8: A fairly strong positive relationship. Correlation Coefficient = 0.6: A moderate positive relationship.

Is 0.61 A strong correlation?

r = 0.5, p = 0.00. Moderately positive linear relationship, r is statistically significant. r = 0.92, p = 0.61. Strong positive linear relationship but r is not statistically significant.

Is 0.5 correlation weak?

As a rule of thumb, a correlation coefficient between 0.25 and 0.5 is considered to be a “weak” correlation between two variables. 2. This rule of thumb can vary from field to field. For example, a much lower correlation could be considered weak in a medical field compared to a technology field.

Is 0.62 A strong correlation?

Example: There is a moderate, positive, linear relationship between GPA and achievement motivation. Based on the criteria listed on the previous page, the value of r in this case (r = 0.62) indicates that there is a positive, linear relationship of moderate strength between achievement motivation and GPA.

What does a correlation of .62 mean?

0.00 - 0.19 – very weak. 0.20 - 0.39 – weak. 0.40 - 0.59 – fairly strong (also called moderate) 0.60 - 0.79 – strong. 0.80 - 1.0 – very strong.

Is a correlation of 0.5 strong?

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

Is .85 a strong correlation?

A correlation coefficient of -0.8 or lower indicates a strong negative relationship, while a coefficient of -0.3 or lower indicates a very weak one.

Is 0.9 A strong correlation?

The magnitude of the correlation coefficient indicates the strength of the association. For example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of r = -0.2 suggest a weak, negative association.

Is .55 a strong correlation?

Conclusion. In summary: As a rule of thumb, a correlation greater than 0.75 is considered to be a “strong” correlation between two variables.

Is .94 a strong correlation?

Correlation coefficients whose magnitude are between 0.9 and 1.0 indicate variables which can be considered very highly correlated. Correlation coefficients whose magnitude are between 0.7 and 0.9 indicate variables which can be considered highly correlated.

What does a correlation of 0.3 mean?

Values between 0 and 0.3 (0 and −0.3) indicate a weak positive (negative) linear relationship through a shaky linear rule. 5. Values between 0.3 and 0.7 (0.3 and −0.7) indicate a moderate positive (negative) linear relationship through a fuzzy-firm linear rule. 6.

Is 0.75 A strong correlation coefficient?

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 a correlation coefficient of .4 mean?

Values always range between -1 (strong negative relationship) and +1 (strong positive relationship). Values at or close to zero imply a weak or no linear relationship. Correlation coefficient values less than +0.8 or greater than -0.8 are not considered significant.

Is 0.04 A strong correlation?

The linear correlation coefficient of approximately 0.04 suggests that there is no appreciable linear correlation.

What does a correlation of 0.43 mean?

Moderate negative correlation. (r = -0.43) Strong correlation & outlier.

Is 0.6 A strong correlation?

If we wish to label the strength of the association, for absolute values of r, 0-0.19 is regarded as very weak, 0.2-0.39 as weak, 0.40-0.59 as moderate, 0.6-0.79 as strong and 0.8-1 as very strong correlation, but these are rather arbitrary limits, and the context of the results should be considered.

What is high correlation?

Correlation is a term that refers to the strength of a relationship between two variables where a strong, or high, correlation means that two or more variables have a strong relationship with each other while a weak or low correlation means that the variables are hardly related.