To determine which type of function best models the given growth data, let's take a look at the provided values:
- At 1 day, the growth is 0 inches.
- At 3 days, the growth is 12 inches.
- At 5 days, the growth is 32 inches.
- At 7 days, the growth is 60 inches.
To analyze the growth, we can start calculating the differences in growth over time:
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Calculate the first differences (growth from day to day):
- From day 1 to day 3: \( 12 - 0 = 12 \)
- From day 3 to day 5: \( 32 - 12 = 20 \)
- From day 5 to day 7: \( 60 - 32 = 28 \)
So, the first differences are: 12, 20, 28.
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Calculate the second differences (difference of differences):
- From 12 to 20: \( 20 - 12 = 8 \)
- From 20 to 28: \( 28 - 20 = 8 \)
The second differences are constant (both are 8).
Since the second differences are constant, this indicates that the data can be modeled by a quadratic function.
Therefore, the best function type that models the given data is:
quadratic.