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A correlation near 0 indicates a weak linear association.

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16y ago

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What does a correlation near 1 or -1 indicate?

The closer the correlation is to 1 or -1, the more linear the data is


When a correlation coefficient is near 1 there is little or no correlation between corresponding variables.?

This statement is incorrect. A correlation coefficient near 1 indicates a strong positive correlation between the variables, meaning that as one variable increases, the other tends to increase as well. Conversely, a correlation coefficient near -1 indicates a strong negative correlation, where one variable increases as the other decreases. A correlation coefficient close to 0 suggests little to no correlation.


What does a correlation coefficient indicate?

A correlation coefficient quantifies the strength and direction of the relationship between two variables. Ranging from -1 to 1, a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 signifies no correlation. Higher absolute values indicate stronger relationships, while lower values suggest weaker or no relationships. It's important to note that correlation does not imply causation.


Measure of how closely one thing is related to another?

This is referred to as correlation, which quantifies the strength and direction of the relationship between two variables. The correlation coefficient can range from -1 to 1, where values closer to 1 indicate a strong positive relationship, values close to -1 indicate a strong negative relationship, and a value of 0 indicates no relationship.


When there is no linear correlation the correlation coefficient equals?

0


When are is close to -1 does it indicate a weak negative correlation?

No, it indicates an extremely strong positive correlation.


What is the acceptable range of correlation coefficient?

The correlation coefficient, typically denoted as "r," ranges from -1 to +1. A value of +1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. Generally, values between 0.1 and 0.3 suggest a weak correlation, 0.3 to 0.5 indicate a moderate correlation, and above 0.5 show a strong correlation. The interpretation may vary depending on the context and the specific fields of study.


What correlation coeficcients expresses weakest degree of relationship?

The correlation coefficient that expresses the weakest degree of relationship is 0. A correlation coefficient of 0 indicates no linear relationship between the two variables being analyzed. Values closer to -1 or +1 indicate stronger negative or positive relationships, respectively. Thus, a coefficient of 0 signifies that changes in one variable do not predict changes in the other.


What is the strongest correlation coefficients relationship between two variables?

The strongest correlation coefficient relationship between two variables is represented by a value of +1 or -1. A coefficient of +1 indicates a perfect positive correlation, meaning that as one variable increases, the other also increases proportionally. Conversely, a coefficient of -1 indicates a perfect negative correlation, where an increase in one variable corresponds to a proportional decrease in the other. Values close to these extremes indicate a very strong relationship, while values near 0 suggest little to no correlation.


What does the size of a correlation coefficient indicate?

Size of variables


What does dispersion indicate about the data?

correlation which can be strong or weak


When are is close to -1 does it indicate a strong negative correlation?

Yes.