Question
Use the table to answer the question
0 3
2 6
4 9
6 12
8 15
10 18
Use the data table to create a scatter plot. Estimate the correlation coefficient based on the data
(1 point)
-0.9
1
-1
0.9
0 3
2 6
4 9
6 12
8 15
10 18
Use the data table to create a scatter plot. Estimate the correlation coefficient based on the data
(1 point)
-0.9
1
-1
0.9
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To determine the correlation coefficient based on the provided data, we first create a scatter plot with the given pairs of values:
- Points:
- (0, 3)
- (2, 6)
- (4, 9)
- (6, 12)
- (8, 15)
- (10, 18)
When plotted on a graph, these points would show a positive linear relationship. As the values of the x-coordinate increase, the y-coordinate values also increase in a consistent manner.
Given the pattern of the points, I can estimate the correlation coefficient. The correlation coefficient (r) ranges from -1 to 1, where:
- 1 indicates a perfect positive correlation,
- -1 indicates a perfect negative correlation, and
- 0 indicates no correlation.
Since the points appear to lie very close to a straight line with a positive slope, we can conclude that the correlation is strong and positive.
Based on this analysis, the best estimate for the correlation coefficient among the provided options is **1**. This indicates a perfect positive correlation.
- Points:
- (0, 3)
- (2, 6)
- (4, 9)
- (6, 12)
- (8, 15)
- (10, 18)
When plotted on a graph, these points would show a positive linear relationship. As the values of the x-coordinate increase, the y-coordinate values also increase in a consistent manner.
Given the pattern of the points, I can estimate the correlation coefficient. The correlation coefficient (r) ranges from -1 to 1, where:
- 1 indicates a perfect positive correlation,
- -1 indicates a perfect negative correlation, and
- 0 indicates no correlation.
Since the points appear to lie very close to a straight line with a positive slope, we can conclude that the correlation is strong and positive.
Based on this analysis, the best estimate for the correlation coefficient among the provided options is **1**. This indicates a perfect positive correlation.
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