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Use the table to create a scatterplot. Determine the type of association. This table presents the x and y values required to cr...Asked by woosanâ„
Use the table to create a scatterplot. Determine the type of association.
This table presents the x and y values required to create scatter plots and determine the type of association.
x
25 30 80 150 250 350 425 450 500
y
375 225 120 75 50 100 175 275 400
(1 point)
Responses
no association
no association
non-linear association
non-linear association
negative linear association
negative linear association
linear association
linear association
This table presents the x and y values required to create scatter plots and determine the type of association.
x
25 30 80 150 250 350 425 450 500
y
375 225 120 75 50 100 175 275 400
(1 point)
Responses
no association
no association
non-linear association
non-linear association
negative linear association
negative linear association
linear association
linear association
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To determine the type of association from the provided x and y values, we can analyze the data:
Here are the (x, y) points based on the table:
- (25, 375)
- (30, 225)
- (80, 120)
- (150, 75)
- (250, 50)
- (350, 100)
- (425, 175)
- (450, 275)
- (500, 400)
Now, let's plot these points on a scatterplot:
1. The x-values range from 25 to 500.
2. The y-values start high and seem to decrease, then increase again.
### Analysis of the Association:
- **Initial Decrease:** The y-values decrease as the x-values increase from (25, 375) to (250, 50).
- **Subsequent Increase:** After that, the y-values rise significantly from (250, 50) to (500, 400).
From this pattern, we see that the relationship does not follow a straight line. Rather, the association can be described as:
- It initially decreases (negative association) but then increases, indicating a non-linear relationship.
### Conclusion:
Based on the behavior of the scatterplot and the data points, the type of association is best described as a **non-linear association**. Therefore, the correct response is:
**non-linear association**.
Here are the (x, y) points based on the table:
- (25, 375)
- (30, 225)
- (80, 120)
- (150, 75)
- (250, 50)
- (350, 100)
- (425, 175)
- (450, 275)
- (500, 400)
Now, let's plot these points on a scatterplot:
1. The x-values range from 25 to 500.
2. The y-values start high and seem to decrease, then increase again.
### Analysis of the Association:
- **Initial Decrease:** The y-values decrease as the x-values increase from (25, 375) to (250, 50).
- **Subsequent Increase:** After that, the y-values rise significantly from (250, 50) to (500, 400).
From this pattern, we see that the relationship does not follow a straight line. Rather, the association can be described as:
- It initially decreases (negative association) but then increases, indicating a non-linear relationship.
### Conclusion:
Based on the behavior of the scatterplot and the data points, the type of association is best described as a **non-linear association**. Therefore, the correct response is:
**non-linear association**.
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