To create a linear model for the given data, we need to determine the relationship between \( x \) and \( y \). The general form of a linear equation is:
\[ y = mx + b \]
where:
- \( m \) is the slope of the line,
- \( b \) is the y-intercept.
Step 1: Calculate the slope (\( m \))
The slope \( m \) is calculated using the formula:
\[ m = \frac{(y_2 - y_1)}{(x_2 - x_1)} \]
Using two points from the given data, let’s pick \( (4, 7) \) and \( (14, 43) \):
\[ m = \frac{(43 - 7)}{(14 - 4)} = \frac{36}{10} = 3.6 \]
Step 2: Calculate the y-intercept (\( b \))
Now, we'll use one of the points to solve for \( b \). Let's use the first point \( (4, 7) \):
\[ 7 = 3.6(4) + b \]
Calculating \( 3.6(4) \):
\[ 3.6 \times 4 = 14.4 \]
Now substitute back to find \( b \):
\[ 7 = 14.4 + b \] \[ b = 7 - 14.4 = -7.4 \]
Step 3: Write the linear model
Now we can write the linear model as:
\[ y = 3.6x - 7.4 \]
Final Answer
Thus, the linear model for the data in the table is:
\[ \boxed{y = 3.6x - 7.4} \]