To determine which data set can be reasonably modeled by a linear relationship, we should analyze the points given in each data set:
Data Set A: (0,2), (1,4), (2,8), (3,16), (4,32), (5,64)
- This set shows an exponential growth pattern (each y-value doubles as x increases by 1).
Data Set B: (3,4), (4,6), (5,8), (6,10), (7,12)
- This set appears to show a consistent linear increase (the y-values increase by 2 as x increases by 1).
Data Set C: (0,1), (3,3), (6,9), (9,27), (12,81)
- This set also shows exponential growth, especially in the later points, indicating that it is not linear.
Data Set D: (2,4), (−1,2), (7,16), (−4,32), (1,64)
- This set does not appear to follow a linear pattern, as the y-values increase inconsistently with x.
Conclusion
The data set that can be reasonably modeled by a linear relationship is Data Set B.
So the correct response is: Data Set B