To determine which data set can reasonably be modeled by a linear relationship, we need to analyze the patterns in the given data sets.
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Data Set A:
- Points: (0, 2), (1, 4), (2, 8), (3, 16), (4, 32), (5, 64)
- The y-values double as the x-values increase, indicating an exponential growth rather than linear.
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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 every increase of 1 in the x-values. This indicates a linear relationship.
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Data Set C:
- Points: (0, 1), (3, 3), (6, 9), (9, 27), (12, 81)
- The y-values increase rapidly, especially after x = 6 (non-linear increase), indicating a non-linear relationship.
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Data Set D:
- Points: (2, 4), (−1, 2), (7, 16), (−4, 32), (1, 64)
- This set appears to vary significantly, and the y-values do not show a consistent rate of change as the x-values change, indicating a non-linear relationship.
Conclusion: The only data set that can reasonably be modeled by a linear relationship is Data Set B.
Answer: Data Set B