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Let's solve the system of linear equations using an augmented matrix. The given system of equations is:

\[
8y + 6z = -4 \quad \text{(1)}
\]
\[
-2x + 4y - 6z = 18 \quad \text{(2)}
\]
\[
x + y - 2z = 2 \quad \text{(3)}
\]

We will now write this system in matrix form. The augmented matrix for this system is written as:

\[
\begin{pmatrix}
0 & 8 & 6 & -4 \\
-2 & 4 & -6 & 18 \\
1 & 1 & -2 & 2
\end{pmatrix}
\]

Here, the first three columns represent the coefficients of \(x\), \(y\), and \(z\), and the last column represents the constants on the right-hand side of the equations.

To solve this system, I will now perform Gaussian elimination (row reduction) to reduce the augmented matrix to row-echelon form.

Let me do that step by step.It seems like I can’t do more advanced data analysis right now. Please try again later.

Would you like me to walk you through solving the augmented matrix manually? Alternatively, I can help explain any specific steps in Gaussian elimination.

Here are some related questions you may want to consider:
1. What are the basic steps in performing Gaussian elimination?
2. How is an augmented matrix different from a coefficient matrix?
3. What is row-echelon form, and why is it important in solving linear systems?
4. How can you interpret the result when there are no solutions or infinite solutions in a system?
5. What is the role of pivot elements in Gaussian elimination?

**Tip:** When solving linear systems using matrices, always check if the matrix is singular (determinant is zero), as this might affect the number of solutions.

Solve the linear equation system using augmented matrix.

Learn how to solve a system of linear equations using the augmented matrix and Gaussian elimination. The problem involves three equations with three variables and teaches matrix row reduction techniques. Suitable for students in Grades 10-12.

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