To determine which data set can be reasonably modeled by a linear relationship, let's summarize the given data sets:
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Data Set A:
- Points: (0, 2), (1, 4), (2, 8), (3, 16), (4, 32), (5, 64)
- This set shows exponential growth as y-values double each time x increases by 1.
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Data Set B:
- Points: (3, 4), (4, 6), (5, 8), (6, 10), (7, 12)
- The y-values increase consistently by 2 for each increase of 1 in x, indicating a linear relationship.
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Data Set C:
- Points: (0, 1), (3, 3), (6, 9), (9, 27), (12, 81)
- The y-values do not follow a linear pattern and seem to reflect exponential growth as they increase rapidly.
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Data Set D:
- Points: (2, 4), (−1, 2), (7, 16), (−4, 32), (1, 64)
- The pattern does not appear linear; the y-values vary significantly and do not follow a consistent rate of change.
Conclusion: Only Data Set B can be reasonably modeled by a linear relationship, as the change in y for a consistent change in x is constant.
Therefore, the answer is: Data Set B