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The image you provided shows a table with the stock of a certain product in an inventory over several days. It includes two columns: "Día de inventario" (Day of inventory) and "Stock." The data provided is as follows:

| Día de Inventario (Day) | Stock  |
|------------------------|--------|
| 1                      | 9607   |
| 2                      | 9575   |
| 3                      | 9102   |
| 4                      | 9050   |
| 5                      | 8956   |
| 6                      | 8507   |
| 7                      | 7802   |

### Questions:
a. **Graph in GeoGebra the values given in the table above.**  
You can plot the data in GeoGebra by creating a scatter plot where the x-axis represents the "Día de inventario" and the y-axis represents the "Stock."

b. **Observing only the set of points, approximately when might the stock run out in this warehouse?**  
To estimate when the stock might run out, we can analyze the trend. The stock decreases every day, suggesting a linear or close-to-linear decline. A rough estimate would involve finding the day when the stock reaches zero by extending the line formed by these points.

### Next Steps:
- I can calculate an approximate linear regression or a trend line based on the data to predict when the stock will hit zero.
- Would you like to proceed with that calculation?

Here are five questions to deepen your understanding:
1. What does the rate of decrease in the stock suggest about the demand for the product?
2. Could external factors like replenishment affect the linearity of the stock decrease?
3. How would the trend change if the product's sales suddenly slowed down?
4. What actions might the warehouse take to prevent stock depletion before reaching zero?
5. How accurate is predicting stock depletion based on just a few days of data?

**Tip:** Plotting points in a tool like GeoGebra or Excel can give you visual insights into trends, helping in predicting future outcomes.

In the table, stock values are provided for several days in a warehouse. The task includes graphing the stock values and estimating when stock depletion might occur.

Learn how to graph stock values over time and predict stock depletion using trend analysis. This exercise involves plotting stock data on a scatter plot and applying linear regression to estimate when the stock might run out. Suitable for students in Grades 9-12.

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