Using the black thread method, a model **E(w**) = –0.014(**w** – 2250) + 34 was obtained. Find the average error for this model. Only enter the number, in mpg, rounded to two decimal places.

To find the **average error** using the model \( E(w) = –0.014(w – 2250) + 34 \), we observe that this model represents the error at weight \( w \). The average error can be found by looking at the constant term in the equation.

The model simplifies as follows:

\[
E(w) = –0.014(w – 2250) + 34
\]

The value **34** is the constant or average error, which means the average error is **34** mpg.

### Final Answer:
The average error is **34.00** mpg.

Would you like any further clarifications or details? 

Here are 5 related questions:
1. How is the average error typically used in model evaluations?
2. Can you explain why the constant term reflects the average error?
3. What other methods can be used to measure model accuracy besides the black thread method?
4. How does changing the weight \( w \) affect the error in this model?
5. What is the significance of the coefficient –0.014 in this model?

**Tip:** In regression models, the constant term often represents the baseline prediction or average value when the other variables are neutralized.

Using the black thread method, a model E(w) = –0.014(w – 2250) + 34 was obtained. Find the average error for this model. Only enter the number, in mpg, rounded to two decimal places.

Discover how to find the average error using the linear model E(w) = –0.014(w – 2250) + 34. This problem involves key concepts in linear equations and error measurement, providing a clear step-by-step solution. Suitable for students in Grades 10-12.

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