How would you interpret the findings of a correlation study that reported a linear correlation coefficient of − 1.34?

The only thing I know is that it represents a negative correlation. Please shed any light you can.

Linear correlations range from -1.00 to +1.00. What does that tell you about -1.34?

To interpret a correlation coefficient, it is important to understand its range. A correlation coefficient can vary between -1 and +1. A negative correlation coefficient indicates an inverse relationship, meaning that as one variable increases, the other variable tends to decrease.

However, it is not possible to have a correlation coefficient of -1.34. The range for a correlation coefficient is -1 to +1, where -1 represents a perfect negative correlation and +1 represents a perfect positive correlation. Any value outside this range is not a valid correlation coefficient.

If there is a mistake in the reported correlation coefficient, it could have been a typographical error or a misinterpretation. It is important to double-check the value or consult the original source to ensure accuracy.

In a valid correlation study, if a linear correlation coefficient is reported as -1, it would indicate a perfect negative linear relationship between the variables being studied. This means that as one variable increases, the other variable decreases in a perfectly consistent way.

In summary, a correlation coefficient of -1.34 is not a valid value, and it is important to verify the accuracy of the reported value. If the true correlation coefficient is -1, it indicates a perfect negative linear relationship between the variables.