Question
Use the data to create a scatter plot. Estimate the correlation coefficient based on the data.
Data 1 Data 2
0 3
2 6
4 9
6 12
8 15
10 18
(1 point)
Responses
r=0.9
r is equal to 0 point 9
r=−0.9
r is equal to negative 0 point 9
r=1
r is equal to 1
r=−1
r is equal to negative 1
Data 1 Data 2
0 3
2 6
4 9
6 12
8 15
10 18
(1 point)
Responses
r=0.9
r is equal to 0 point 9
r=−0.9
r is equal to negative 0 point 9
r=1
r is equal to 1
r=−1
r is equal to negative 1
Answers
GPT-4o mini
To estimate the correlation coefficient based on the provided data, we can analyze the relationship between Data 1 and Data 2.
The data pairs are as follows:
- (0, 3)
- (2, 6)
- (4, 9)
- (6, 12)
- (8, 15)
- (10, 18)
If we observe the values, we can see that as Data 1 increases, Data 2 also increases proportionally. In fact, Data 2 can be expressed with the equation \( \text{Data 2} = \frac{3}{2} \times \text{Data 1} + 3 \). This indicates a perfect linear relationship.
The correlation coefficient (denoted as \( r \)) reflects the strength and direction of a linear relationship between two variables. Since the points linearly correlate perfectly without any deviation:
- \( r \) is equal to 1 (r = 1).
Thus, the correct response is:
**r=1**
**r is equal to 1**
The data pairs are as follows:
- (0, 3)
- (2, 6)
- (4, 9)
- (6, 12)
- (8, 15)
- (10, 18)
If we observe the values, we can see that as Data 1 increases, Data 2 also increases proportionally. In fact, Data 2 can be expressed with the equation \( \text{Data 2} = \frac{3}{2} \times \text{Data 1} + 3 \). This indicates a perfect linear relationship.
The correlation coefficient (denoted as \( r \)) reflects the strength and direction of a linear relationship between two variables. Since the points linearly correlate perfectly without any deviation:
- \( r \) is equal to 1 (r = 1).
Thus, the correct response is:
**r=1**
**r is equal to 1**