The graph above represents the cost function $C(x)$. By examining it visually, we can estimate the order size $x$ that minimizes the cost.

From the graph, it appears that the minimum cost is reached at an order size close to $x = 20$ (in hundreds of components). Therefore, the optimal order size that minimizes cost is approximately:

$x \approx 20 \times 100 = 2000 \text{ components}$

Would you like more details on finding the exact minimum value, or do you have further questions?

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Here are some additional questions based on this problem:

1. How would changing the base cost $C(100)$ impact the order size for the minimum cost?
2. What is the impact on cost if the order size $x$ is doubled from the minimum order size?
3. How does the term $\frac{x}{x + 30}$ affect the shape of the cost function for large values of $x$?
4. Can the minimum cost order size change if the condition $x \geq 1$ is modified?
5. How would using a different model for cost estimation affect the optimal order size?

Tip: When analyzing cost functions, always consider the impact of each term separately to understand their effects on the overall cost.