To analyze the growth rates of the sequences for Function A and Function B, let's break down the information provided.
Sequence for Function A:
- 1: 2.1
- 2: 4.47
- 3: 9.261
- 4: 19.448
- 5: 40.841
- 6: 85.766
Sequence for Function B:
- 1: 2.7
- 2: 5.4
- 3: 8.1
- 4: 10.8
- 5: 13.5
- 6: 16.2
From the data:
-
Function A does not increase at a constant rate; the differences between the terms are increasing. This indicates a rapid growth pattern typically associated with exponential functions.
- Differences:
- 4.47 - 2.1 = 2.37
- 9.261 - 4.47 = 4.791
- 19.448 - 9.261 = 10.187
- 40.841 - 19.448 = 21.393
- 85.766 - 40.841 = 44.925
- Differences:
-
Function B consistently increases by the same amount (2.7 each time). This indicates a linear function.
- Differences:
- 5.4 - 2.7 = 2.7
- 8.1 - 5.4 = 2.7
- 10.8 - 8.1 = 2.7
- 13.5 - 10.8 = 2.7
- 16.2 - 13.5 = 2.7
- Differences:
Given these observations:
- Function A is exponential because its growth rate accelerates and does not remain constant.
- Function B is linear because it increases by the same amount with each term.
As for the growth rates:
- Initially, Function B has higher values than Function A for smaller term numbers. However, as we observe term 3 and beyond, the values of Function A's terms grow much faster and surpass those of Function B.
Thus, based on the analysis, the best response is:
Function A always has the greater growth rate. Function A is exponential and Function B is linear.