\begin{tabular}{|c|c|c|c|c|c|}
\hline
[tex]$x$[/tex] & 1 & 2 & 3 & 4 & 5 \\
\hline
[tex]$y$[/tex] & 13 & 21 & 29 & 37 & 45 \\
\hline
\end{tabular}



Answer :

To determine the relationship between the given x and y values and to predict the missing y value for \(x = 5\), we start by assuming that y follows a linear relationship with x. This can be represented by the equation of a line:

[tex]\[ y = mx + c \][/tex]

where \(m\) is the slope of the line and \(c\) is the y-intercept.

### Step-by-Step Solution:

1. Identify the given values:

We have the following data points:
[tex]\[ \begin{array}{|c|c|c|c|c|c|} \hline x & 1 & 2 & 3 & 4 & 5 \\ \hline y & 13 & 21 & 29 & 37 & ? \\ \hline \end{array} \][/tex]

2. Formulate the system of equations:

From the given points (1, 13), (2, 21), (3, 29), and (4, 37), we set up the following system of equations based on the line equation \( y = mx + c \):

[tex]\[ \begin{cases} 13 = m \cdot 1 + c \\ 21 = m \cdot 2 + c \\ 29 = m \cdot 3 + c \\ 37 = m \cdot 4 + c \end{cases} \][/tex]

3. Find the slope (m) and y-intercept (c):

By solving these equations, we get the following results for the coefficients:
[tex]\[ m = 8, \quad c = 5 \][/tex]
Substituting these values back into the line equation, we get:
[tex]\[ y = 8x + 5 \][/tex]

4. Predict the missing y value for \(x = 5\):

We now use the derived equation of the line to predict the y value when \(x = 5\):
[tex]\[ y = 8 \cdot 5 + 5 \][/tex]
[tex]\[ y = 40 + 5 \][/tex]
[tex]\[ y = 45 \][/tex]

### Final Answer:
The coefficients of the line are:
[tex]\[ m = 8, \quad c = 5 \][/tex]

The predicted y value for \(x = 5\) is:
[tex]\[ y = 45 \][/tex]

Thus, the completed table is:
[tex]\[ \begin{array}{|c|c|c|c|c|c|} \hline x & 1 & 2 & 3 & 4 & 5 \\ \hline y & 13 & 21 & 29 & 37 & 45 \\ \hline \end{array} \][/tex]

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