To determine which data set can reasonably be modeled by a linear relationship, we need to consider the scatterplots of each data set.
Data Set A:
- Points: (0,2), (1,4), (2,8), (3,16), (4,32), (5,64)
- This data set exhibits exponential growth; each y-value is a power of 2 (e.g., 2, 4, 8, 16, 32, 64). Therefore, it is not linear.
Data Set B:
- Points: (3,4), (4,6), (5,8), (6,10), (7,12)
- The y-values increase consistently by 2 for each increment of 1 in x. This suggests a linear relationship (y = 2x - 2), as the change in y is constant.
Data Set C:
- Points: (0,1), (3,3), (6,9), (9,27), (12,81)
- The y-values increase rapidly and are not consistent; they show an exponential pattern. Thus, this data set does not exhibit a linear relationship.
Data Set D:
- Points: (2,4), (−1,2), (7,16), (−4,32), (1,64)
- The points seem scattered without a consistent pattern, and the y-values do not change at a constant rate with x. Hence, this data set does not demonstrate a linear relationship.
Conclusion:
Among the data sets, Data Set B is the only one that can reasonably be modeled by a linear relationship because the increase in y-values is consistent with a linear trend.
Final Answer: Data Set B