https://file.aiquickdraw.com/mathbot/file/1727191412110mh5tegz5.jpg

It appears that the question you're asking requires the regression equation from a previous question (question 19) to predict the value of \( y \) when \( x = 12 \).

However, since the regression equation is not included in this image, I'll need you to either:
1. Share the regression equation if you have it, or
2. Provide a picture of the relevant regression equation from question 19.

Once I have the equation, I can easily calculate \( y \) when \( x = 12 \) for you. Let me know how you'd like to proceed!

Also, would you like details on how the regression equation works for future questions?

Here are 5 related questions to expand your understanding:
1. What is the general form of a simple linear regression equation?
2. How do you determine the slope and intercept of a regression line?
3. What is the meaning of \( R^2 \) (the coefficient of determination) in regression analysis?
4. How does one calculate residuals in a regression model?
5. What are common applications of regression analysis in real-world scenarios?

**Tip:** When using regression equations, always make sure your predicted value falls within the range of your dataset to avoid inaccurate extrapolation.

Use the regression equation from question 19 to predict y when x = 12.

Learn how to use a linear regression equation to predict y when x = 12. This problem covers concepts of regression, the slope-intercept formula, and application of linear equations.

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