https://file.aiquickdraw.com/mathbot/file/17271918637656x6ia6mj.jpg

To solve the problem, we need the regression equation from question 19. Since we don't have question 19 available in the image, we'll need to know the regression equation to predict \( y \) when \( x = 12 \).

The general form of a simple linear regression equation is:
\[ y = a + bx \]
where:
- \( y \) is the dependent variable (the value we want to predict),
- \( x \) is the independent variable (the given value, which is 12 in this case),
- \( a \) is the y-intercept, and
- \( b \) is the slope of the regression line.

If you can provide the regression equation from question 19, I can help you calculate the predicted value of \( y \) for \( x = 12 \).

Would you like to provide the regression equation or need assistance with another question?

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

Solve the linear regression problem by predicting y using the equation y = a + bx when x = 12. This problem involves key concepts in regression analysis and prediction. Suitable for students in Grades 10-12.

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