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It is a measure of the strength of a linear relationship between one dependent variable and one or more explanatory variables.

It is very important to recognise that a high level of correlation does not imply causation. Also, it does not provide information on non-linear relationships.

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9y ago

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Related Questions

A correlation of -90 is weaker than a correlation of 87 true or false?

true


What is the relation between Matthew correlation coefficient Sensitivity and Specificity?

The Matthew correlation coefficient considers true and false positives and negatives. The specificity correlation only considers the true classes or rejections.


What is a sample correlation?

If measurements are taken for two (or more) variable for a sample , then the correlation between the variables are the sample correlation. If the sample is representative then the sample correlation will be a good estimate of the true population correlation.


Is it true that if you are bad at writing you are not an accountant?

No, that is not a causative correlation.


Is it true that if you are bad at writing you are really not an engineer?

No, that is not a causative correlation.


Is the coefficient of correlation a useful measure of the linear relationship between two variables true or false?

True


The lowercase letter is usually used to represent a correlation coefficient?

True.


What type of fracture does not have coding correlation to the type of treatment provided?

true


If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?

If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.


what is correlation interval?

A correlation interval refers to the range within which the correlation coefficient, a statistical measure of the strength and direction of a relationship between two variables, is assessed. Typically, this interval ranges from -1 to +1, where -1 indicates a perfect negative correlation, +1 indicates a perfect positive correlation, and 0 denotes no correlation. In practice, correlation intervals can also refer to confidence intervals around the correlation coefficient, providing a range of values that likely includes the true correlation in the population.


Why is possible to relate the temperature of a star to its luminosty or brightness?

By multiple observations it was noted that that correlation was true.


Which of the following is not true of cause-and-effect relationships?

The effect occurs before the cause.

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