To determine which type of function best models the given growth data, we need to analyze the growth values in relation to time.
Here is the data summarized:
- At 1 day, growth = 0
- At 3 days, growth = 12
- At 5 days, growth = 32
- At 7 days, growth = 60
We can calculate the differences in growth to see if they fit any specific pattern:
First Differences:
- Growth at 3 days - Growth at 1 day = 12 - 0 = 12
- Growth at 5 days - Growth at 3 days = 32 - 12 = 20
- Growth at 7 days - Growth at 5 days = 60 - 32 = 28
First differences:
- From 0 to 12: 12
- From 12 to 32: 20
- From 32 to 60: 28
Second Differences:
- Difference between 20 and 12 = 20 - 12 = 8
- Difference between 28 and 20 = 28 - 20 = 8
The second differences are constant (both equal to 8), which suggests that the data can be modeled by a quadratic function.
Based on this analysis, the best model for the data is quadratic.