The direction of the association between the variables in the scatter plot is negative. This means that as the value of variable x increases, the value of variable y decreases.
The strength of the association is moderate negative. This means that there is a clear negative relationship between the two variables, but it is not perfect. There are some data points that fall off the trend line, and so the relationship is not as strong as it could be.
The scatter plot also has a few outliers. These are data points that fall far away from the main trend of the data. Outliers can have a big impact on the correlation coefficient, so it is important to be aware of them when interpreting the results.
Overall, the scatter plot shows that there is a moderate negative association between the two variables. This means that there is a tendency for one variable to decrease as the other variable increases, but there is not a perfect linear relationship between the two.