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Create a linear model for the data in the table. x 4 6 8 10 12 14 y 7 14 21 28 36 45 Question content area bottom Part 1 Write...Question
                Create a linear model for the data in the table.
x
5
7
9
11
13
15
 
y
7
16
20
28
38
45
Question content area bottom
Part 1
Write a linear model for the data in the table.
yequals
  
enter your response herexplus(
  
enter your response here)
(Type integers or decimals rounded to three decimal places as needed.)
            
        x
5
7
9
11
13
15
y
7
16
20
28
38
45
Question content area bottom
Part 1
Write a linear model for the data in the table.
yequals
enter your response herexplus(
enter your response here)
(Type integers or decimals rounded to three decimal places as needed.)
Answers
                                                    There are no human answers yet.
                                            
                
                    Answered by
            GPT-4o mini
            
    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:
\[
y = 3.8x - 12
\]
    
### 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:
\[
y = 3.8x - 12
\]
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