To determine which data set can reasonably be modeled by a linear relationship, let's analyze each of the provided data sets.
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Data Set A:
- Points: (0,2), (1,4), (2,8), (3,16), (4,32), (5,64)
- This data represents exponential growth. The y-values double as the x-values increase. Therefore, it does not have a linear relationship.
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Data Set B:
- Points: (3,4), (4,6), (5,8), (6,10), (7,12)
- This data shows a constant increase in y as x increases, specifically the y-values increase by 2 for every increase of 1 in x. This can be represented by a linear equation (y = 2x + 2). Therefore, this data set can reasonably be modeled by a linear relationship.
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Data Set C:
- Points: (0,1), (3,3), (6,9), (9,27), (12,81)
- This data appears to show more of a polynomial or exponential curve than a straight line, especially due to the rapid increase seen with the final points. Therefore, it does not display a linear relationship.
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Data Set D:
- Points: (2,4), (−1,2), (7,16), (−4,32), (1,64)
- The values are varied and do not follow a consistent pattern suitable for a linear relationship. The changes in y with respect to x are not uniform.
Based on this analysis:
Response: Data Set B can reasonably be modeled by a linear relationship.