Duplicate Question
The question on this page has been marked as a duplicate question.
Original Question
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
4
6
8
10
12
14
y
7
16
20
28
38
43
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
4
6
8
10
12
14
y
7
16
20
28
38
43
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 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:
\[
\boxed{y = 3.6x - 7.4}
\]
\[
y = mx + b
\]
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:
\[
\boxed{y = 3.6x - 7.4}
\]
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.