What is the strongest negative correlation?

The strength of a correlation relationship is quantified by its correlation coefficient, the strongest possible being "perfectly" correlated. A perfect negative correlation has a value of -1.0 and indicates that when X increases by z units, Y decreases by exactly z; and vice-versa.

What is an example of a strong negative correlation?

For example, the correlation between rainy days and sales per week is -0.9. This means there is a strong negative correlation between rainy days and sales, or the more it rains, the less sales you make, or the less it rains, the more sales you make.

Is 0.9 A strong negative 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 0.25 A strong negative correlation?

As a rule of thumb, a correlation coefficient between 0.25 and 0.5 is considered to be a “weak” correlation between two variables.

What does a very strong negative correlation mean?

A perfect negative correlation means the relationship that exists between two variables is exactly opposite all of the time.

Positive and Negative Correlation

Which correlation is the strongest?

According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or -1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.

Is 0.80 A strong correlation?

A coefficient of correlation of +0.8 or -0.8 indicates a strong correlation between the independent variable and the dependent variable. An r of +0.20 or -0.20 indicates a weak correlation between the variables.

Is .58 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 0.4 A strong correlation?

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. When we are studying things that are more easily countable, we expect higher correlations.

Is 0.5 A strong correlation?

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.

What is a strong correlation?

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.

What does a correlation coefficient of 0.70 infer?

It describes the relationship between two variables. What does a correlation coefficient of 0.70 infer? Multiple Choice. There is almost no correlation because 0.70 is close to 1.0. 70% of the variation in one variable is explained by the other variable.

What is a weak negative correlation example?

A student who has many absences has a decrease in grades. The more one works, the less free time one has. As one increases in age, often one's agility decreases. If a car decreases speed, travel time to a destination increases.

What is negatively correlated?

A negative correlation is a relationship between two variables such that as the value of one variable increases, the other decreases.

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.

Is 0.65 A strong correlation?

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.

Can a correlation be greater than 1?

Correlation coefficient cannot be greater than 1. As a matter of fact, it cannot also be less than -1. So, your answer must lie between -1 and +1.

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.

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).

What does a correlation of .70 mean?

.40-.70, the correlation is moderate; substantial relationship. .70-.90, the correlation is high; marked relationship. .90-1.00, the correlation is very high; very dependable relationship. If the correlation is positive, the relationship is said to be direct.

Which correlation is the strongest quizlet?

When you are thinking about correlation, just remember this handy rule: The closer the correlation is to 0, the weaker it is, while the close it is to +/-1, the stronger it is.

Is 0 A strong correlation?

The sign of the linear correlation coefficient indicates the direction of the linear relationship between x and y. When r (the correlation coefficient) is near 1 or −1, the linear relationship is strong; when it is near 0, the linear relationship is weak.

What is a moderate negative correlation?

A perfect negative correlation has a value of -1.0 and indicates that when X increases by z units, Y decreases by exactly z; and vice-versa. In general, -1.0 to -0.70 suggests a strong negative correlation, -0.50 a moderate negative relationship, and -0.30 a weak correlation.

What does a negative R value mean?

A negative r values indicates that as one variable increases the other variable decreases, and an r of -1 indicates that knowing the value of one variable allows perfect prediction of the other. A correlation coefficient of 0 indicates no relationship between the variables (random scatter of the points).