https://file.aiquickdraw.com/mathbot/file/17271755430929uayuihp.jpg

The equation given in the graph is:

\[
y = 9450x + 24848
\]

Where:
- \( y \) is the predicted salary.
- \( x \) is the number of years of experience.

The question asks for the predicted salary when the candidate has 11 years of experience. To find the predicted salary, substitute \( x = 11 \) into the equation:

\[
y = 9450(11) + 24848
\]

Let me calculate this.The predicted salary for a candidate with 11 years of experience is \( 128,798 \), which matches option **c**.

Would you like further details or have any questions?

Here are 5 related questions:
1. How is the slope of the line related to the rate of salary increase per year of experience?
2. How would the predicted salary change if the number of years of experience was increased by 5 years?
3. What is the significance of the y-intercept (24,848) in the context of this problem?
4. How can we verify the accuracy of the predicted salary using this linear equation?
5. If a candidate had 0 years of experience, what would their predicted salary be?

**Tip:** When interpreting linear models, the slope represents how much the dependent variable (e.g., salary) changes for each unit increase in the independent variable (e.g., years of experience).

As per the following graph, if a candidate is with the years of experience 11 years, what would be the predicted salary for this employee?

Find out how to use a linear equation to predict the salary of a candidate with 11 years of experience. This problem covers algebraic concepts, the slope-intercept form, and graph interpretation, ideal for students in Grades 9-12.

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