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To analyze the line chart, I see that the comparison is between bond yields (in yellow) and stock returns (in orange) over six months, from January to June. The question asks us to predict how much bond yields could surpass stock returns by July, given the trend.

### Step-by-step analysis:
1. **Current difference (June)**:  
   - Bond yields are at about 2.6%.
   - Stock returns are at around 2.0%.
   - So, the difference between bond yields and stock returns is approximately **0.6 percentage points** in June.

2. **Trend projection for July**:
   - Bond yields are rising steeply.
   - Stock returns are also rising, but at a slower rate.
   - If the current trend continues, bond yields will likely increase by a larger margin than stock returns.

3. **Conclusion**:
   - It is reasonable to infer that by July, bond yields could surpass stock returns by more than **0.6 percentage points**, based on the June gap and the increasing trend in bond yields.

Would you like more details or have any questions? 

Here are some follow-up questions to deepen the understanding:

1. What factors could influence the trends in bond yields and stock returns?
2. How can the slope of the lines in the graph help predict future values?
3. What external economic factors could alter these trends?
4. What does the convergence of the lines in April indicate about bond yields vs. stock returns during that period?
5. How could we model future predictions mathematically from this data?

**Tip**: When analyzing line charts, pay attention to both the slope (rate of change) and the actual values to understand trends and make accurate projections.

Observing the line chart, if the current trend continues, it is reasonable to infer that by July, bond yields could surpass stock returns by more than _____ percentage points.

This problem focuses on analyzing a line chart comparing bond yields and stock returns over six months. Using trend analysis and data interpretation, the task involves predicting the difference in bond yields and stock returns by July. Learn how to analyze trends and make accurate projections.

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