It looks like your sentence was cut off. Based on the context you've provided, it seems like you're discussing a scatter plot that shows a correlation between the time spent running (x-axis) and the amount of body fat (y-axis).
If the trend on the scatter plot shows that as the time spent running increases, the amount of body fat decreases, this would indicate a negative correlation. In this case, you could conclude that more time spent running is associated with lower body fat levels.
Conversely, if the scatter plot shows that as time spent running increases, body fat also increases, that would indicate a positive correlation, suggesting a relationship where more running is associated with higher body fat, although this would be counterintuitive.
In summary, the interpretation of the scatter plot depends on the observed relationship between the two variables:
- Negative Correlation: More time running -> Less body fat
- Positive Correlation: More time running -> More body fat
If you can clarify your statement or ask specific questions about the relationship or the data in the scatter plot, I'd be happy to help further!