Question
Which type of function best models the data in the table?
Time and Growth Data
Time (days) Growth (inches)
1 0
3 12
5 32
7 60
(1 point)
Responses
exponential
exponential
cubic
cubic
quadratic
quadratic
linear
Time and Growth Data
Time (days) Growth (inches)
1 0
3 12
5 32
7 60
(1 point)
Responses
exponential
exponential
cubic
cubic
quadratic
quadratic
linear
Answers
GPT-4o mini
To determine which type of function best models the data, let's analyze the growth values corresponding to the given days:
- At 1 day, growth is 0 inches.
- At 3 days, growth is 12 inches.
- At 5 days, growth is 32 inches.
- At 7 days, growth is 60 inches.
First, we can calculate the differences between growth values to check for patterns:
1. **First Differences** (growth differences between consecutive days):
- Growth from day 1 to day 3: 12 - 0 = 12
- Growth from day 3 to day 5: 32 - 12 = 20
- Growth from day 5 to day 7: 60 - 32 = 28
First differences: 12, 20, 28
2. **Second Differences** (differences of the first differences):
- 20 - 12 = 8
- 28 - 20 = 8
Second differences: 8, 8
Since the second differences are constant, this indicates that the data can be modeled by a **quadratic function**.
Thus, the best type of function that models the given data is **quadratic**.
- At 1 day, growth is 0 inches.
- At 3 days, growth is 12 inches.
- At 5 days, growth is 32 inches.
- At 7 days, growth is 60 inches.
First, we can calculate the differences between growth values to check for patterns:
1. **First Differences** (growth differences between consecutive days):
- Growth from day 1 to day 3: 12 - 0 = 12
- Growth from day 3 to day 5: 32 - 12 = 20
- Growth from day 5 to day 7: 60 - 32 = 28
First differences: 12, 20, 28
2. **Second Differences** (differences of the first differences):
- 20 - 12 = 8
- 28 - 20 = 8
Second differences: 8, 8
Since the second differences are constant, this indicates that the data can be modeled by a **quadratic function**.
Thus, the best type of function that models the given data is **quadratic**.