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MEINE AUFGABE LAUTET: LIEGT PAUL MIT SEINER FORMEL RICHTIG?? BERECHNE DIE ABONENNTENANZAHL IM JAHR 2015 MIT FOLGENDEN FORMELN: (USA): f(x)= 25+5,56(t-2012) UND INTERNATIONAL: g(x)= 5e^0,485*(t-2012) DIE GESAMTANZAHL WIRD ÜBER f(x)+ g(x) berechnet. vergleiche das ergebnis ausführlich mit der grafik

In the year 2015, the number of Netflix subscribers based on Paul's formulas are:

- **USA subscribers**: 41.68 million
- **International subscribers**: 21.42 million
- **Total subscribers**: 63.10 million (sum of USA and International)

### Comparing with the graph:
From the graph, we can estimate the following:
- The red portion (USA subscribers) for 2015 seems to be slightly above 40 million.
- The blue portion (International subscribers) appears to be slightly over 20 million.
- The total number of subscribers for 2015 is around 60–65 million, which aligns closely with the calculated result of 63.10 million.

Thus, Paul's formula seems to provide a reasonable estimation, aligning well with the data from the graph.

Would you like to explore the calculations or have more detailed insights?

Here are five follow-up questions to deepen your understanding:
1. How do exponential functions affect growth rates like in the international formula?
2. What would happen to the number of subscribers in future years if growth trends continue?
3. How does the difference between linear and exponential growth affect long-term predictions?
4. How sensitive is the total subscriber number to small changes in the growth rate?
5. Could a similar model be applied to other streaming services, and how would it differ?

**Tip**: When comparing formula results with graphs, always check the units and scales used in both methods to ensure accuracy.

Is Paul's formula accurate for calculating the number of Netflix subscribers in 2015 using these formulas: USA: f(x)= 25+5.56(t-2012) and International: g(x)= 5e^0.485*(t-2012)? Compare the results with the graph.

Explore how linear and exponential formulas can predict subscriber growth, with a detailed comparison to actual growth as shown in the Netflix subscriber data graph for 2015. Learn about the accuracy of these models and their real-world application.

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