Correlation coefficient values below 0.3 are considered to be weak; 0.3-0.7 are moderate ; >0.7 are strong. You also have to compute the statistical significance of the correlation.
Is 0.4 A strong correlation?
The sign of the correlation coefficient indicates the direction of the relationship. ... 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 is considered a good correlation coefficient?
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 0.6 A strong correlation?
Correlation Coefficient = +1: A perfect positive relationship. Correlation Coefficient = 0.8: A fairly strong positive relationship. Correlation Coefficient = 0.6: A moderate positive relationship . ... Correlation Coefficient = -0.8: A fairly strong negative relationship.
Is 0.85 A strong correlation?
If |r| is between 0.85 and 1, there is a strong correlation . If |r| is between 0.5 and 0.85, there is a moderate correlation. If |r| is between 0.1 and 0.5, there is a weak 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 an r2 value of 0.9 mean?
What Does an R-Squared 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 .
What does an R of 0.4 mean?
This represents a very high correlation in the data. ... 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 .
How do you interpret a correlation coefficient?
- Perfect: If the value is near ± 1, then it said to be a perfect correlation: as one variable increases, the other variable tends to also increase (if positive) or decrease (if negative).
- High degree: If the coefficient value lies between ± 0.50 and ± 1, then it is said to be a strong correlation.
How do you know if a correlation is strong?
The relationship between two variables is generally considered strong when their r value is larger than 0.7 . The correlation r measures the strength of the linear relationship between two quantitative variables. Pearson r: r is always a number between -1 and 1.
Is 0.5 a low correlation?
Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated. Correlation coefficients whose magnitude are between 0.3 and 0.5 indicate variables which have a low correlation .
What does a correlation of 0.30 mean?
A moderate downhill (negative) relationship . –0.30. A weak downhill (negative) linear relationship. 0. No linear relationship.
How do you interpret Pearson’s r?
Pearson’s r can range from -1 to 1 . An r of -1 indicates a perfect negative linear relationship between variables, an r of 0 indicates no linear relationship between variables, and an r of 1 indicates a perfect positive linear relationship between variables.
What does it mean if correlation is 0?
If the correlation coefficient of two variables is zero, there is no linear relationship between the variables . ... This means that there is no correlation, or relationship, between the two variables.
Which one of the following correlation coefficients indicates the strongest relationship?
Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.
Which of the following correlation coefficients indicates the weakest relationship?
(a) -0.15 represents the weakest correlation. The sign of the correlation just indicates the type of relationship that exists between the two variables, that is, whether an increase in one variable means an increase in the other variable (positive);
