Let's analyze the data from the given chart to derive a relationship between industrial production and unemployment:
1. United States:
- Industrial production fell by 46%.
- Unemployment rose by 607%.
2. Britain:
- Industrial production fell by 23%.
- Unemployment rose by 129%.
3. Germany:
- Industrial production fell by 41%.
- Unemployment rose by 232%.
Next, we need to correlate the decline in industrial production with the change in unemployment:
- For the United States, a significant drop in industrial production (46%) corresponds to a substantial rise in unemployment (607%).
- In Britain, a moderate decline in industrial production (23%) leads to a smaller but still notable increase in unemployment (129%).
- In Germany, a large decrease in industrial production (41%) is paired with a considerable increase in unemployment (232%).
From this pattern, it is clear that when industrial production decreases, unemployment tends to increase. Thus, there is a strong relationship indicating that declines in industrial production are associated with increases in unemployment.
Given the options:
- A rise in unemployment is tied to a rise in industrial production. (Incorrect: Data shows an increase in unemployment when industrial production falls.)
- Low unemployment leads to a decline in industrial production. (Incorrect: Data does not support this; it shows the reverse relationship.)
- A drop in industrial production leads to a drop in unemployment. (Incorrect: Data indicates that a drop in industrial production increases unemployment.)
- Declines in industrial production are tied to a rise in unemployment. (Correct: This is consistent with the data provided.)
Therefore, the correct conclusion based on the chart is:
Declines in industrial production are tied to a rise in unemployment.
