Ms Ochoa recorded the age and shoe size of each student in her physical education class. The graph below shows her data.

I can't see the graph, but I can help you understand how to interpret correlations based on age and shoe size data.

1. Positive Correlation: If the graph shows that as age increases, shoe size also increases, you would describe this as a positive correlation. This could be expected since children tend to grow in both age and foot size as they get older.

2. Negative Correlation: If the graph indicates that as age increases, shoe size decreases, that would be a negative correlation. This scenario is unlikely, given the context of age and shoe size in children.

3. No Correlation: If the data points show no discernible pattern (they are scattered randomly without any trend), you would describe the correlation as no correlation. This might occur if there is no significant relationship between age and shoe size within the specific group of students studied.

To determine the type of correlation based on the graph you see, look for the direction of the trend: whether the trend line (if applicable) slopes upwards (positive), downwards (negative), or shows no clear pattern (no correlation).