Suppose a study found a correlation coefficient r = -0.61 between the gender of a worker and their income. What can you conclude?

To interpret the correlation coefficient (r) of -0.61 between the gender of a worker and their income, you would need to consider its magnitude and sign.

The magnitude of the correlation coefficient ranges from -1 to 1, where 0 indicates no correlation, and -1 or 1 indicate a perfect negative or positive correlation, respectively.

In this case, the correlation coefficient of -0.61 indicates a moderate negative correlation between the gender of a worker and their income. This suggests that there is a relationship between gender and income, where as gender increases, income tends to decrease.

It's important to note that correlation does not imply causation, meaning that the relationship observed between gender and income does not necessarily mean that gender is causing the income differences. Other factors may contribute to these results.

Further analysis and consideration of additional variables are required to clarify the relationship between gender and income and identify any underlying factors contributing to this correlation.