Update README.md

README.md

@@ -305,7 +305,7 @@ To systematically explore these factors, we have structured our analysis around
   <img src=https://huggingface.co/datasets/lia-prop13/startup-Investments-analysis/resolve/main/funding_violin.png  width="60%"/>
 </div>
 
-- **Insight:** The log-scale distribution reveals a stark contrast: acquired startups secure a median funding of ~$10M USD, nearly 10 times higher than the ~$1M USD median of closed startups. Furthermore, the 'Acquired' group shows a significantly higher density in the upper funding tiers ($100M+). While Pearson correlation indicates a weak linear relationship ($r \approx 0.074$), this metric is artificially dragged down by extreme outliers (heavily funded startups that ultimately failed) and the non-linear nature of venture capital. The visual distribution effectively cuts through this noise, confirming a clear behavioral link between funding volume and status.
+- **Insight:** The log-scale distribution reveals a stark contrast: acquired startups secure a median funding of ~$10M USD, nearly 10 times higher than the ~$1M USD median of closed startups. Furthermore, the 'Acquired' group shows a significantly higher density in the upper funding tiers ($100M+). While Pearson correlation indicates a weak linear relationship (approx 0.074), this metric is artificially dragged down by extreme outliers (heavily funded startups that ultimately failed) and the non-linear nature of venture capital. The visual distribution effectively cuts through this noise, confirming a clear behavioral link between funding volume and status.
 - **Conclusion:** While abundant capital does not guarantee a successful exit, the 10x disparity in medians establishes that crossing a substantial funding threshold is a defining, primary characteristic of startups that achieve acquisition.
 
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