To create a linear model for the data in the table, we need to find the slope (m) and the y-intercept (b) of the line in the form \( y = mx + b \).
Given Data:
x: 5, 7, 9, 11, 13, 15
y: 7, 16, 20, 28, 38, 45
Step 1: Calculate the slope (m)
The formula for the slope between two points \((x_1, y_1)\) and \((x_2, y_2)\) is:
\[ m = \frac{y_2 - y_1}{x_2 - x_1} \]
We can calculate the slope using any two points. I'll use the points (5, 7) and (15, 45).
\[ m = \frac{45 - 7}{15 - 5} = \frac{38}{10} = 3.8 \]
Step 2: Calculate the y-intercept (b)
To find the y-intercept, we can use the slope-intercept form \(y = mx + b\). We can rearrange it to find \(b\):
\[ b = y - mx \]
Using the point (5, 7):
\[ b = 7 - 3.8 \cdot 5 \] \[ b = 7 - 19 = -12 \]
Step 3: Write the linear model
Now we have the slope (m) and the y-intercept (b):
\[ m = 3.8, \quad b = -12 \]
So the linear model is:
\[ y = 3.8x - 12 \]
Final Answer:
\[ y = 3.8x - 12 \]